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1430 Program Highlights »
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Poster
Dates n/a. @ None
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Sefi Bell-Kligler · Assaf Shocher · Michal Irani
Poster
Dates n/a. @ None
Guided Similarity Separation for Image Retrieval
Chundi Liu · Guangwei Yu · Maksims Volkovs · Cheng Chang · Himanshu Rai · Junwei Ma · Satya Krishna Gorti
Poster
Dates n/a. @ None
Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth
Poster
Dates n/a. @ None
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning
Sindy Löwe · Peter O'Connor · Bastiaan Veeling
Poster
Dates n/a. @ None
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová
Poster
Dates n/a. @ None
Parameter elimination in particle Gibbs sampling
Anna Wigren · Riccardo Sven Risuleo · Lawrence Murray · Fredrik Lindsten
Poster
Dates n/a. @ None
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos
Poster
Dates n/a. @ None
On Robustness of Principal Component Regression
Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
Poster
Dates n/a. @ None
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski
Poster
Dates n/a. @ None
Optimizing Generalized Rate Metrics through Three-player Games
Harikrishna Narasimhan · Andrew Cotter · Maya Gupta
Poster
Dates n/a. @ None
Causal Misidentification in Imitation Learning
Pim de Haan · Dinesh Jayaraman · Sergey Levine
Poster
Dates n/a. @ None
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song · Stefano Ermon
Poster
Dates n/a. @ None
Exponentially convergent stochastic k-PCA without variance reduction
Cheng Tang
Poster
Dates n/a. @ None
A neurally plausible model learns successor representations in partially observable environments
Eszter Vértes · Maneesh Sahani
Poster
Dates n/a. @ None
Faster width-dependent algorithm for mixed packing and covering LPs
Digvijay Boob · Saurabh Sawlani · Di Wang
Poster
Dates n/a. @ None
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu · Dhruv Batra · Devi Parikh · Stefan Lee
Poster
Dates n/a. @ None
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu · Shuqing Li · Cho-Jui Hsieh · James Sharpnack
Poster
Dates n/a. @ None
Unsupervised learning of object structure and dynamics from videos
Matthias Minderer · Chen Sun · Ruben Villegas · Forrester Cole · Kevin Murphy · Honglak Lee
Poster
Dates n/a. @ None
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian · Zhichao Li · Naiyan Wang · Huangying Zhan · Chunhua Shen · Ming-Ming Cheng · Ian Reid
Poster
Dates n/a. @ None
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Xiaosong Zhang · Fang Wan · Chang Liu · Rongrong Ji · Qixiang Ye
Poster
Dates n/a. @ None
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju · Amir Sadeghian · Roberto Martín-Martín · Ian Reid · Hamid Rezatofighi · Silvio Savarese
Poster
Dates n/a. @ None
Multi-Resolution Weak Supervision for Sequential Data
Paroma Varma · Frederic Sala · Shiori Sagawa · Jason Fries · Daniel Fu · Saelig Khattar · Ashwini Ramamoorthy · Ke Xiao · Kayvon Fatahalian · James Priest · Christopher Ré
Poster
Dates n/a. @ None
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Thanh Huy Nguyen · Umut Simsekli · Mert Gurbuzbalaban · Gaël RICHARD
Poster
Dates n/a. @ None
Batched Multi-armed Bandits Problem
Zijun Gao · Yanjun Han · Zhimei Ren · Zhengqing Zhou
Poster
Dates n/a. @ None
Noise-tolerant fair classification
Alex Lamy · Ziyuan Zhong · Aditya Menon · Nakul Verma
Poster
Dates n/a. @ None
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu · Shiwan Zhao · Haoyang Xu · Chaochao Chen · Li Wang · Xiaolu Zhang · Guangyu Sun · Jun Zhou
Poster
Dates n/a. @ None
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann · Michael Zollhoefer · Gordon Wetzstein
Poster
Dates n/a. @ None
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li · Sifei Liu · Shalini De Mello · Xiaolong Wang · Jan Kautz · Ming-Hsuan Yang
Poster
Dates n/a. @ None
Experience Replay for Continual Learning
David Rolnick · Arun Ahuja · Jonathan Schwarz · Timothy Lillicrap · Gregory Wayne
Poster
Dates n/a. @ None
Chasing Ghosts: Instruction Following as Bayesian State Tracking
Peter Anderson · Ayush Shrivastava · Devi Parikh · Dhruv Batra · Stefan Lee
Poster
Dates n/a. @ None
Block Coordinate Regularization by Denoising
Yu Sun · Jiaming Liu · Ulugbek Kamilov
Poster
Dates n/a. @ None
Thresholding Bandit with Optimal Aggregate Regret
Chao Tao · Saúl A Blanco · Jian Peng · Yuan Zhou
Poster
Dates n/a. @ None
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li · Matthias Fresacher · Jonathan Scarlett
Poster
Dates n/a. @ None
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein
Poster
Dates n/a. @ None
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming ZHANG · Jing Zhang · Wei Liu · Dacheng Tao
Poster
Dates n/a. @ None
Zero-Shot Semantic Segmentation
Maxime Bucher · Tuan-Hung VU · Matthieu Cord · Patrick Pérez
Poster
Dates n/a. @ None
Metric Learning for Adversarial Robustness
Chengzhi Mao · Ziyuan Zhong · Junfeng Yang · Carl Vondrick · Baishakhi Ray
Poster
Dates n/a. @ None
Kernel Instrumental Variable Regression
Rahul Singh · Maneesh Sahani · Arthur Gretton
Poster
Dates n/a. @ None
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
Qiangeng Xu · Weiyue Wang · Duygu Ceylan · Radomir Mech · Ulrich Neumann
Poster
Dates n/a. @ None
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Ilias Diakonikolas · Themis Gouleakis · Christos Tzamos
Poster
Dates n/a. @ None
Differentially Private Bayesian Linear Regression
Garrett Bernstein · Daniel Sheldon
Poster
Dates n/a. @ None
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le
Poster
Dates n/a. @ None
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult · Benjamin Scellier · Yoshua Bengio · Damien Querlioz · Julie Grollier
Poster
Dates n/a. @ None
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
Yitian Yuan · Lin Ma · Jingwen Wang · Wei Liu · Wenwu Zhu
Poster
Dates n/a. @ None
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
Clarice Poon · Jingwei Liang
Poster
Dates n/a. @ None
RSN: Randomized Subspace Newton
Robert Gower · Dmitry Koralev · Felix Lieder · Peter Richtarik
Poster
Dates n/a. @ None
Trust Region-Guided Proximal Policy Optimization
Yuhui Wang · Hao He · Xiaoyang Tan · Yaozhong Gan
Poster
Dates n/a. @ None
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
Max Vladymyrov
Poster
Dates n/a. @ None
Fast and Accurate Least-Mean-Squares Solvers
Ibrahim Jubran · Alaa Maalouf · Dan Feldman
Poster
Dates n/a. @ None
Adversarial Self-Defense for Cycle-Consistent GANs
Dina Bashkirova · Ben Usman · Kate Saenko
Poster
Dates n/a. @ None
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer · Jonas Umlauft · Sandra Hirche
Poster
Dates n/a. @ None
Logarithmic Regret for Online Control
Naman Agarwal · Elad Hazan · Karan Singh
Poster
Dates n/a. @ None
A Meta-Analysis of Overfitting in Machine Learning
Rebecca Roelofs · Vaishaal Shankar · Benjamin Recht · Sara Fridovich-Keil · Moritz Hardt · John Miller · Ludwig Schmidt
Poster
Dates n/a. @ None
Geometry-Aware Neural Rendering
Josh Tobin · Wojciech Zaremba · Pieter Abbeel
Poster
Dates n/a. @ None
Saccader: Accurate, Interpretable Image Classification with Hard Attention
Gamaleldin Elsayed · Simon Kornblith · Quoc V Le
Poster
Dates n/a. @ None
Multiway clustering via tensor block models
Miaoyan Wang · Yuchen Zeng
Poster
Dates n/a. @ None
On Making Stochastic Classifiers Deterministic
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
Poster
Dates n/a. @ None
Variance Reduction for Matrix Games
Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian
Poster
Dates n/a. @ None
Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan · J. Zico Kolter
Poster
Dates n/a. @ None
Network Pruning via Transformable Architecture Search
Xuanyi Dong · Yi Yang
Poster
Dates n/a. @ None
Differentiable Cloth Simulation for Inverse Problems
Junbang Liang · Ming C Lin · Vladlen Koltun
Poster
Dates n/a. @ None
New Differentially Private Algorithms for Learning Mixtures of Well-Separated Gaussians
Gautam Kamath · Or Sheffet · Vikrant Singhal · Jonathan Ullman
Poster
Dates n/a. @ None
Poisson-randomized Gamma Dynamical Systems
Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach
Poster
Dates n/a. @ None
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
Han Liu · Zhizhong Han · Yu-Shen Liu · Ming Gu
Poster
Dates n/a. @ None
R2D2: Reliable and Repeatable Detectors and Descriptors for Joint Sparse Keypoint Detection and Local Feature Extraction
Jerome Revaud · Cesar De Souza · Martin Humenberger · Philippe Weinzaepfel
Poster
Dates n/a. @ None
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
Arsenii Vanunts · Alexey Drutsa
Poster
Dates n/a. @ None
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Jonas Kubilius · Martin Schrimpf · Ha Hong · Najib Majaj · Rishi Rajalingham · Elias Issa · Kohitij Kar · Pouya Bashivan · Jonathan Prescott-Roy · Kailyn Schmidt · Aran Nayebi · Daniel Bear · Daniel Yamins · James J DiCarlo
Poster
Dates n/a. @ None
Memory-oriented Decoder for Light Field Salient Object Detection
Miao Zhang · Jingjing Li · Wei Ji · Yongri Piao · Huchuan Lu
Poster
Dates n/a. @ None
Deep Learning without Weight Transport
Mohamed Akrout · Collin Wilson · Peter Humphreys · Timothy Lillicrap · Douglas Tweed
Poster
Dates n/a. @ None
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli
Poster
Dates n/a. @ None
Explicit Disentanglement of Appearance and Perspective in Generative Models
Nicki Skafte Detlefsen · Søren Hauberg
Poster
Dates n/a. @ None
Region-specific Diffeomorphic Metric Mapping
Zhengyang Shen · Francois-Xavier Vialard · Marc Niethammer
Poster
Dates n/a. @ None
Secretary Ranking with Minimal Inversions
Sepehr Assadi · Eric Balkanski · Renato Leme
Poster
Dates n/a. @ None
Understanding Sparse JL for Feature Hashing
Meena Jagadeesan
Poster
Dates n/a. @ None
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu · Shie Mannor · Huan Xu · Yuan Qi · Le Song · Junwu Xiong
Poster
Dates n/a. @ None
Subset Selection via Supervised Facility Location
Chengguang Xu · Ehsan Elhamifar
Poster
Dates n/a. @ None
Reconciling λ-Returns with Experience Replay
Brett Daley · Christopher Amato
Poster
Dates n/a. @ None
Zero-shot Learning via Simultaneous Generating and Learning
Hyeonwoo Yu · Beomhee Lee
Poster
Dates n/a. @ None
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang · Gabriel Bender · Quoc V Le · Jiquan Ngiam
Poster
Dates n/a. @ None
On The Classification-Distortion-Perception Tradeoff
Dong Liu · Haochen Zhang · Zhiwei Xiong
Poster
Dates n/a. @ None
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Dominic Richards · Patrick Rebeschini
Poster
Dates n/a. @ None
Stand-Alone Self-Attention in Vision Models
Niki Parmar · Prajit Ramachandran · Ashish Vaswani · Irwan Bello · Anselm Levskaya · Jon Shlens
Poster
Dates n/a. @ None
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li · Rui Wang · Minxue Tang · Chongjie Zhang
Poster
Dates n/a. @ None
Wibergian Learning of Continuous Energy Functions
Chris Russell · Matteo Toso · Neill Campbell
Poster
Dates n/a. @ None
High Fidelity Video Prediction with Large Neural Nets
Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee
Poster
Dates n/a. @ None
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
Zhize Li
Poster
Dates n/a. @ None
Hierarchical Optimal Transport for Document Representation
Mikhail Yurochkin · Sebastian Claici · Edward Chien · Farzaneh Mirzazadeh · Justin M Solomon
Poster
Dates n/a. @ None
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Shengyuan Hu · Tao Yu · Chuan Guo · Wei-Lun Chao · Kilian Weinberger
Poster
Dates n/a. @ None
TensorPipe: Easy Scaling with Micro-Batch Pipeline Parallelism
Yanping Huang · Youlong Cheng · Ankur Bapna · Orhan Firat · Dehao Chen · Mia Chen · HyoukJoong Lee · Jiquan Ngiam · Quoc V Le · Yonghui Wu · zhifeng Chen
Poster
Dates n/a. @ None
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue · Hongwei Yong · Qian Zhao · Deyu Meng · Lei Zhang
Poster
Dates n/a. @ None
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction
Hao Zheng · Faming Fang · Guixu Zhang
Poster
Dates n/a. @ None
On the Curved Geometry of Accelerated Optimization
Aaron Defazio
Poster
Dates n/a. @ None
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
Alex Lu · Amy Lu · Wiebke Schormann · David Andrews · Alan Moses
Poster
Dates n/a. @ None
Meta-Learning with Implicit Gradients
Aravind Rajeswaran · Chelsea Finn · Sham Kakade · Sergey Levine
Poster
Dates n/a. @ None
Importance Resampling for Off-policy Prediction
Matthew Schlegel · Wesley Chung · Daniel Graves · Jian Qian · Martha White
Poster
Dates n/a. @ None
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang · Jianyu Wang
Poster
Dates n/a. @ None
Regret Minimization for Reinforcement Learning on Multi-Objective Online Markov Decision Processes
Wang Chi Cheung
Poster
Dates n/a. @ None
Neural networks grown and self-organized by noise
Guruprasad Raghavan · Matt Thomson
Poster
Dates n/a. @ None
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Jun Shu · Qi Xie · Lixuan Yi · Qian Zhao · Sanping Zhou · Zongben Xu · Deyu Meng
Poster
Dates n/a. @ None
Differentially Private Hypothesis Selection
Mark Bun · Gautam Kamath · Thomas Steinke · Steven Wu
Poster
Dates n/a. @ None
Variational Structured Semantic Inference for Diverse Image Captioning
Fuhai Chen · Rongrong Ji · Jiayi Ji · Xiaoshuai Sun · Baochang Zhang · Xuri Ge · Yongjian Wu · Feiyue Huang · Yan Wang
Poster
Dates n/a. @ None
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
Ximei Wang · Ying Jin · Mingsheng Long · Jianmin Wang · Michael Jordan
Poster
Dates n/a. @ None
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang · Shimon Whiteson
Poster
Dates n/a. @ None
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun · Thomas Steinke
Poster
Dates n/a. @ None
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Su Young Lee · Choi Sungik · Sae-Young Chung
Poster
Dates n/a. @ None
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You · Kun Yan · Jinmian Ye · Meng Ma · Ping Wang
Poster
Dates n/a. @ None
Provably Powerful Graph Networks
Haggai Maron · Heli Ben-Hamu · Hadar Serviansky · Yaron Lipman
Poster
Dates n/a. @ None
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
Tam Nguyen · Maximilian Dax · Chaithanya Kumar Mummadi · Nhung Ngo · Thi Hoai Phuong Nguyen · Zhongyu Lou · Thomas Brox
Poster
Dates n/a. @ None
A Tensorized Transformer for Language Modeling
Xindian Ma · Peng Zhang · Shuai Zhang · Nan Duan · Yuexian Hou · Ming Zhou · Dawei Song
Poster
Dates n/a. @ None
Rethinking the CSC Model for Natural Images
Dror Simon · Michael Elad
Poster
Dates n/a. @ None
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
Srinath Sridhar · Davis Rempe · Julien Valentin · Bouaziz Sofien · Leonidas J Guibas
Poster
Dates n/a. @ None
Nearly Linear-Time, Deterministic Algorithm for Maximizing (Non-Monotone) Submodular Functions Under Cardinality Constraint
Alan Kuhnle
Poster
Dates n/a. @ None
The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection
Vladimir V. Kniaz · Vladimir Knyaz · Fabio Remondino
Poster
Dates n/a. @ None
Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz · Alina Dubatovka
Poster
Dates n/a. @ None
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang · Tianyuan Zhang · Yiping Lu · Zhanxing Zhu · Bin Dong
Poster
Dates n/a. @ None
Generalized Sliced Wasserstein Distances
Soheil Kolouri · Kimia Nadjahi · Umut Simsekli · Roland Badeau · Gustavo Rohde
Poster
Dates n/a. @ None
Minimax rates of estimating approximate differential privacy
Xiyang Liu · Sewoong Oh
Poster
Dates n/a. @ None
Conformal Prediction Under Covariate Shift
Rina Foygel Barber · Emmanuel Candes · Aaditya Ramdas · Ryan Tibshirani
Poster
Dates n/a. @ None
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti · Benjamin Moseley
Poster
Dates n/a. @ None
Blended Matching Pursuit
Cyrille Combettes · Sebastian Pokutta
Poster
Dates n/a. @ None
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
Chen Dan · Hong Wang · Hongyang Zhang · Yuchen Zhou · Pradeep Ravikumar
Poster
Dates n/a. @ None
On the Calibration of Multiclass Classification with Rejection
Chenri Ni · Nontawat Charoenphakdee · Junya Honda · Masashi Sugiyama
Poster
Dates n/a. @ None
Provable Gradient Variance Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Dates n/a. @ None
Visual Sequence Learning in Hierarchical Prediction Networks and Primate Visual Cortex
JIELIN QIU · Ge Huang · Tai Sing Lee
Poster
Dates n/a. @ None
Discovering Neural Wirings
Mitchell Wortsman · Ali Farhadi · Mohammad Rastegari
Poster
Dates n/a. @ None
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney · Norman Di Palo · Mathias Berglund · Alexander Ilin · Juho Kannala · Antti Rasmus · Harri Valpola
Poster
Dates n/a. @ None
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin · David Rolnick
Poster
Dates n/a. @ None
Copula-like Variational Inference
Marcel Hirt · Petros Dellaportas · Alain Durmus
Poster
Dates n/a. @ None
Computer Vision with a Single (Robust) Classifier
Shibani Santurkar · Andrew Ilyas · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry
Poster
Dates n/a. @ None
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation
Anton Obukhov · Stamatios Georgoulis · Dengxin Dai · Luc V Gool
Poster
Dates n/a. @ None
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
Yusuke Tanaka · Toshiyuki Tanaka · Tomoharu Iwata · Takeshi Kurashima · Maya Okawa · Yasunori Akagi · Hiroyuki Toda
Poster
Dates n/a. @ None
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui · Yanwei Fu · David Crandall
Poster
Dates n/a. @ None
Real-Time Reinforcement Learning
Simon Ramstedt · Chris Pal
Poster
Dates n/a. @ None
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Yogev Bar-On · Yishay Mansour
Poster
Dates n/a. @ None
A Primal-Dual link between GANs and Autoencoders
Hisham Husain · Richard Nock · Robert Williamson
Poster
Dates n/a. @ None
Backpropagation-Friendly Eigendecomposition
Wei Wang · Zheng Dang · Yinlin Hu · Pascal Fua · Mathieu Salzmann
Poster
Dates n/a. @ None
FastSpeech: Fast, Robust and Controllable Text to Speech
Yi Ren · Yangjun Ruan · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu
Poster
Dates n/a. @ None
muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking
Congchao Wang · Yizhi Wang · Yinxue Wang · Chiung-Ting Wu · Guoqiang Yu
Poster
Dates n/a. @ None
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
Gauthier Gidel · Francis Bach · Simon Lacoste-Julien
Poster
Dates n/a. @ None
Fully Dynamic Consistent Facility Location
Vincent Cohen-Addad · Niklas Oskar D Hjuler · Nikos Parotsidis · David Saulpic · Chris Schwiegelshohn
Poster
Dates n/a. @ None
Invert to Learn to Invert
Patrick Putzky · Max Welling
Poster
Dates n/a. @ None
A Flexible Generative Framework for Graph-based Semi-supervised Learning
Jiaqi Ma · Weijing Tang · Ji Zhu · Qiaozhu Mei
Poster
Dates n/a. @ None
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
Kevin Liang · Guoyin Wang · Yitong Li · Ricardo Henao · Lawrence Carin
Poster
Dates n/a. @ None
Equitable Stable Matchings in Quadratic Time
Nikolaos Tziavelis · Ioannis Giannakopoulos · Katerina Doka · Nectarios Koziris · Panagiotis Karras
Poster
Dates n/a. @ None
First order expansion of convex regularized estimators
Pierre Bellec · Arun Kuchibhotla
Poster
Dates n/a. @ None
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
Shuang Li · Gongguo Tang · Michael B Wakin
Poster
Dates n/a. @ None
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett · Nathan Kallus · Tobias Schnabel
Poster
Dates n/a. @ None
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun · Meng Qu · Jordan Hoffmann · Chin-Wei Huang · Jian Tang
Poster
Dates n/a. @ None
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
PHUONG_HA NGUYEN · Lam Nguyen · Marten van Dijk
Poster
Dates n/a. @ None
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Devin Reich · Ariel Todoki · Rafael Dowsley · Martine De Cock · anderson nascimento
Poster
Dates n/a. @ None
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Dominik Linzner · Michael Schmidt · Heinz Koeppl
Poster
Dates n/a. @ None
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Yiwen Guo · Ziang Yan · Changshui Zhang
Poster
Dates n/a. @ None
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Difan Zou · Pan Xu · Quanquan Gu
Poster
Dates n/a. @ None
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
ravichandra addanki · Shaileshh Bojja Venkatakrishnan · Shreyan Gupta · Hongzi Mao · Mohammad Alizadeh
Poster
Dates n/a. @ None
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu · Guojun Yin · Jing Shao · Xiaogang Wang · hongsheng Li
Poster
Dates n/a. @ None
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato · Makoto Yamada · Hisashi Kashima
Poster
Dates n/a. @ None
Full-Gradient Representation for Neural Network Visualization
Suraj Srinivas · François Fleuret
Poster
Dates n/a. @ None
Limitations of the empirical Fisher approximation
Frederik Kunstner · Philipp Hennig · Lukas Balles
Poster
Dates n/a. @ None
Computing Full Conformal Prediction Set with Approximate Homotopy
Eugene Ndiaye · Ichiro Takeuchi
Poster
Dates n/a. @ None
Understanding attention in graph neural networks
Boris Knyazev · Graham W Taylor · Mohamed Amer
Poster
Dates n/a. @ None
Data Cleansing for Models Trained with SGD
Satoshi Hara · Atsushi Nitanda · Takanori Maehara
Poster
Dates n/a. @ None
Towards closing the gap between the theory and practice of SVRG
Othmane Sebbouh · Nidham Gazagnadou · Samy Jelassi · Francis Bach · Robert Gower
Poster
Dates n/a. @ None
Training Language GANs from Scratch
Cyprien de Masson d'Autume · Shakir Mohamed · Mihaela Rosca · Jack Rae
Poster
Dates n/a. @ None
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
James Jordon · Jinsung Yoon · Mihaela van der Schaar
Poster
Dates n/a. @ None
ETNet: Error Transition Network for Arbitrary Style Transfer
Chunjin Song · Zhijie Wu · Yang Zhou · Minglun Gong · Hui Huang
Poster
Dates n/a. @ None
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
Alberto Maria Metelli · Amarildo Likmeta · Marcello Restelli
Poster
Dates n/a. @ None
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc Bellemare · Will Dabney · Robert Dadashi · Adrien Ali Taiga · Pablo Samuel Castro · Nicolas Le Roux · Dale Schuurmans · Tor Lattimore · Clare Lyle
Poster
Dates n/a. @ None
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
Joshua Lee · Prasanna Sattigeri · Gregory Wornell
Poster
Dates n/a. @ None
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Yong Guo · Yin Zheng · Mingkui Tan · Qi Chen · Jian Chen · Peilin Zhao · Junzhou Huang
Poster
Dates n/a. @ None
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn · Donggyu Lee · Sungmin Cha · Taesup Moon
Poster
Dates n/a. @ None
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Yali Du · Lei Han · Meng Fang · Ji Liu · Tianhong Dai · Dacheng Tao
Poster
Dates n/a. @ None
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette · Yuchen Lu · SETON STEVEN BOCCO · Max Smith · Satya O.-G. · Jonathan K. Kummerfeld · Joelle Pineau · Satinder Singh · Aaron Courville
Poster
Dates n/a. @ None
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression
Ruidi Chen · Ioannis Paschalidis
Poster
Dates n/a. @ None
Offline Contextual Bayesian Optimization
Ian Char · Youngseog Chung · Willie Neiswanger · Kirthevasan Kandasamy · Oak Nelson · Mark Boyer · Egemen Kolemen · Jeff Schneider
Poster
Dates n/a. @ None
End to end learning and optimization on graphs
Bryan Wilder · Eric Ewing · Bistra Dilkina · Milind Tambe
Poster
Dates n/a. @ None
Learning Conditional Deformable Templates with Convolutional Networks
Adrian Dalca · Marianne Rakic · John Guttag · Mert Sabuncu
Poster
Dates n/a. @ None
Adaptive Cross-Modal Few-shot Learning
Chen Xing · Negar Rostamzadeh · Boris Oreshkin · Pedro O. Pinheiro
Poster
Dates n/a. @ None
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
Huaian Diao · Rajesh Jayaram · Zhao Song · Wen Sun · David Woodruff
Poster
Dates n/a. @ None
On Single Source Robustness in Deep Fusion Models
Taewan Kim · Joydeep Ghosh
Poster
Dates n/a. @ None
Reducing Scene Bias of Convolutional Neural Networks for Human Action Understanding
Jinwoo Choi · Chen Gao · Joseph C. E. Messou · Jia-Bin Huang
Poster
Dates n/a. @ None
A Stratified Approach to Robustness for Randomly Smoothed Classifiers
Guang-He Lee · Yang Yuan · Shiyu Chang · Tommi Jaakkola
Poster
Dates n/a. @ None
Ordered Memory
Yikang Shen · Shawn Tan · Arian Hosseini · Zhouhan Lin · Alessandro Sordoni · Aaron Courville
Poster
Dates n/a. @ None
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou · Haozhi Qi · Jingwei Huang · Yi Ma
Poster
Dates n/a. @ None
PHYRE: A New Benchmark for Physical Reasoning
Anton Bakhtin · Laurens van der Maaten · Justin Johnson · Laura Gustafson · Ross Girshick
Poster
Dates n/a. @ None
Data-driven Estimation of Sinusoid Frequencies
Gautier Izacard · Sreyas Mohan · Carlos Fernandez-Granda
Poster
Dates n/a. @ None
DATA: Differentiable ArchiTecture Approximation
Jianlong Chang · xinbang zhang · Yiwen Guo · GAOFENG MENG · SHIMING XIANG · Chunhong Pan
Poster
Dates n/a. @ None
Estimating Entropy of Distributions in Constant Space
Jayadev Acharya · Sourbh Bhadane · Piotr Indyk · Ziteng Sun
Poster
Dates n/a. @ None
Face Reconstruction from Voice using Generative Adversarial Networks
Yandong Wen · Bhiksha Raj · Rita Singh
Poster
Dates n/a. @ None
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren · Renjie Liao · Ethan Fetaya · Richard Zemel
Poster
Dates n/a. @ None
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
Tingting Qiao · Jing Zhang · Duanqing Xu · Dacheng Tao
Poster
Dates n/a. @ None
Adaptive Sequence Submodularity
Marko Mitrovic · Ehsan Kazemi · Moran Feldman · Andreas Krause · Amin Karbasi
Poster
Dates n/a. @ None
Time-series Generative Adversarial Networks
Jinsung Yoon · Daniel Jarrett · M Van Der Schaar
Poster
Dates n/a. @ None
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Daniel Freeman · David Ha · Luke Metz
Poster
Dates n/a. @ None
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Xuesong Niu · Hu Han · Shiguang Shan · Xilin Chen
Poster
Dates n/a. @ None
A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu · Liang Yang · Zhi-Hua Zhou
Poster
Dates n/a. @ None
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng · Xiao Zhang · Faming Liang · Guang Lin
Poster
Dates n/a. @ None
Limiting Extrapolation in Linear Approximate Value Iteration
Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill
Poster
Dates n/a. @ None
Powerset Convolutional Neural Networks
Chris Wendler · Markus Püschel · Dan Alistarh
Poster
Dates n/a. @ None
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
Andrea Zanette · Mykel J Kochenderfer · Emma Brunskill
Poster
Dates n/a. @ None
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
Vikas Garg · Tamar Pichkhadze
Poster
Dates n/a. @ None
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
Hadrien Hendrikx · Francis Bach · Laurent Massoulié
Poster
Dates n/a. @ None
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu
Poster
Dates n/a. @ None
Variance Reduced Policy Evaluation with Smooth Function Approximation
Hoi-To Wai · Mingyi Hong · Zhuoran Yang · Zhaoran Wang · Kexin Tang
Poster
Dates n/a. @ None
Learning GANs and Ensembles Using Discrepancy
Ben Adlam · Corinna Cortes · Mehryar Mohri · Ningshan Zhang
Poster
Dates n/a. @ None
Abstract Reasoning with Distracting Features
Kecheng Zheng · Zheng-Jun Zha · Wei Wei
Poster
Dates n/a. @ None
Combinatorial Bandits with Relative Feedback
Aadirupa Saha · Aditya Gopalan
Poster
Dates n/a. @ None
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Zhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang
Poster
Dates n/a. @ None
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
Tao Sun · Yuejiao Sun · Dongsheng Li · Qing Liao
Poster
Dates n/a. @ None
Polynomial Cost of Adaptation for X-Armed Bandits
Hedi Hadiji
Poster
Dates n/a. @ None
MaCow: Masked Convolutional Generative Flow
Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard Hovy
Poster
Dates n/a. @ None
Deep Active Learning with a Neural Architecture Search
Yonatan Geifman · Ran El-Yaniv
Poster
Dates n/a. @ None
Efficiently escaping saddle points on manifolds
Christopher Criscitiello · Nicolas Boumal
Poster
Dates n/a. @ None
Learning to Propagate for Graph Meta-Learning
LU LIU · Tianyi Zhou · Guodong Long · Jing Jiang · Chengqi Zhang
Poster
Dates n/a. @ None
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Yu Qi · Bin Liu · Yueming Wang · Gang Pan
Poster
Dates n/a. @ None
Divergence-Augmented Policy Optimization
Qing Wang · Yingru Li · Jiechao Xiong · Tong Zhang
Poster
Dates n/a. @ None
Selecting the independent coordinates of manifolds with large aspect ratios
Yu-Chia Chen · Marina Meila
Poster
Dates n/a. @ None
Towards a Zero-One Law for Column Subset Selection
Zhao Song · David Woodruff · Peilin Zhong
Poster
Dates n/a. @ None
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
Natasa Tagasovska · Damien Ackerer · Thibault Vatter
Poster
Dates n/a. @ None
Locally Private Gaussian Estimation
Matthew Joseph · Janardhan Kulkarni · Jieming Mao · Steven Wu
Poster
Dates n/a. @ None
Fast AutoAugment
Sungbin Lim · Ildoo Kim · Taesup Kim · Chiheon Kim · Sungwoong Kim
Poster
Dates n/a. @ None
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
Wei Qian · Yuqian Zhang · Yudong Chen
Poster
Dates n/a. @ None
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
Fengxiang He · Tongliang Liu · Dacheng Tao
Poster
Dates n/a. @ None
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response
Fan Zhou · Tengfei Li · Haibo Zhou · Hongtu Zhu · Ye Jieping
Poster
Dates n/a. @ None
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Max Simchowitz · Kevin Jamieson
Poster
Dates n/a. @ None
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
Fenglin Liu · Yuanxin Liu · Xuancheng Ren · Xiaodong He · Kai Lei · Xu Sun
Poster
Dates n/a. @ None
Combinatorial Inference against Label Noise
Paul Hongsuck Seo · Geeho Kim · Bohyung Han
Poster
Dates n/a. @ None
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
Yaniv Blumenfeld · Dar Gilboa · Daniel Soudry
Poster
Dates n/a. @ None
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik · Reazul Hasan Russel
Poster
Dates n/a. @ None
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru · Jean Honorio
Poster
Dates n/a. @ None
First Order Motion Model for Image Animation
Aliaksandr Siarohin · Stephane Lathuillere · Sergey Tulyakov · Elisa Ricci · Nicu Sebe
Poster
Dates n/a. @ None
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
Alban Laflaquière · Michael Garcia Ortiz
Poster
Dates n/a. @ None
Convolution with even-sized kernels and symmetric padding
Shuang Wu · Guanrui Wang · Pei Tang · Feng Chen · Luping Shi
Poster
Dates n/a. @ None
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin · Haoxuan You · Lichen Wang · C.-C. Jay Kuo · Yun Fu
Poster
Dates n/a. @ None
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen · Sijia Liu · Kaidi Xu · Xingguo Li · Xue Lin · Mingyi Hong · David Cox
Poster
Dates n/a. @ None
Escaping from saddle points on Riemannian manifolds
Yue Sun · Nicolas Flammarion · Maryam Fazel
Poster
Dates n/a. @ None
Online sampling from log-concave distributions
Holden Lee · Oren Mangoubi · Nisheeth Vishnoi
Poster
Dates n/a. @ None
Envy-Free Classification
Maria-Florina Balcan · Travis Dick · Ritesh Noothigattu · Ariel Procaccia
Poster
Dates n/a. @ None
Estimating Convergence of Markov chains with L-Lag Couplings
Niloy Biswas · Pierre E Jacob · Paul Vanetti
Poster
Dates n/a. @ None
Localized Structured Prediction
Carlo Ciliberto · Francis Bach · Alessandro Rudi
Poster
Dates n/a. @ None
Modeling Tabular data using Conditional GAN
Lei Xu · Maria Skoularidou · Alfredo Cuesta Infante · Kalyan Veeramachaneni
Poster
Dates n/a. @ None
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui · Haotao N Wang · Haichuan Yang · Chen Yu · Zhangyang Wang · Ji Liu
Poster
Dates n/a. @ None
Foundations of Comparison-Based Hierarchical Clustering
Debarghya Ghoshdastidar · Michaël Perrot · Ulrike von Luxburg
Poster
Dates n/a. @ None
Neuron Communication Networks
Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Ji Lin · Devi Parikh
Poster
Dates n/a. @ None
Neural Spline Flows
Conor Durkan · Artur Bekasov · Iain Murray · George Papamakarios
Poster
Dates n/a. @ None
Regression Planning Networks
Danfei Xu · Roberto Martín-Martín · De-An Huang · Yuke Zhu · Silvio Savarese · Li Fei-Fei
Poster
Dates n/a. @ None
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen · James Widdicombe · Lukas Geiger · Zechun Liu · Kwang-Ting Cheng · Roeland Nusselder
Poster
Dates n/a. @ None
Constrained Reinforcement Learning: A Dual Approach
Santiago Paternain · Luiz Chamon · Miguel Calvo-Fullana · Alejandro Ribeiro
Poster
Dates n/a. @ None
Distributional Policy Optimization: An Alternative Approach for Continuous Control
Chen Tessler · Guy Tennenholtz · Shie Mannor
Poster
Dates n/a. @ None
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
Poster
Dates n/a. @ None
Self-Routing Capsule Networks
Taeyoung Hahn · Myeongjang Pyeon · Gunhee Kim
Poster
Dates n/a. @ None
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
Gecia Bravo Hermsdorff · Lee Gunderson
Poster
Dates n/a. @ None
Sampling Sketches for Concave Sublinear Functions of Frequencies
Edith Cohen · Ofir Geri
Poster
Dates n/a. @ None
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu · Caiming Xiong · Yu-Gang Jiang · Larry Davis
Poster
Dates n/a. @ None
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa
Poster
Dates n/a. @ None
A Model to Search for Synthesizable Molecules
John Bradshaw · Brooks Paige · Matt J Kusner · Marwin Segler · José Miguel Hernández-Lobato
Poster
Dates n/a. @ None
Deliberative Explanations: visualizing network insecurities
Pei Wang · Nuno Nvasconcelos
Poster
Dates n/a. @ None
Provably Efficient Q-Learning with Low Switching Cost
Yu Bai · Tengyang Xie · Nan Jiang · Yu-Xiang Wang
Poster
Dates n/a. @ None
A Debiased MDI Feature Importance Measure for Random Forests
Xiao Li · Yu Wang · Sumanta Basu · Karl Kumbier · Bin Yu
Poster
Dates n/a. @ None
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang · Lala Li · Zachary Nado · James Martens · Sushant Sachdeva · George Dahl · Chris Shallue · Roger Grosse
Poster
Dates n/a. @ None
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser · Stephan Günnemann · Zachary Lipton
Poster
Dates n/a. @ None
Manipulating a Learning Defender and Ways to Counteract
Jiarui Gan · Qingyu Guo · Long Tran-Thanh · Bo An · Michael Wooldridge
Poster
Dates n/a. @ None
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Zhuoran Yang · Yongxin Chen · Mingyi Hong · Zhaoran Wang
Poster
Dates n/a. @ None
Multiclass Learning from Contradictions
Sauptik Dhar · Vladimir Cherkassky · Mohak Shah
Poster
Dates n/a. @ None
Generalized Off-Policy Actor-Critic
Shangtong Zhang · Wendelin Boehmer · Shimon Whiteson
Poster
Dates n/a. @ None
Online Normalization for Training Neural Networks
Vitaliy Chiley · Ilya Sharapov · Atli Kosson · Urs Koster · Ryan Reece · Sofia Samaniego de la Fuente · Vishal Subbiah · Michael James
Poster
Dates n/a. @ None
An adaptive Mirror-Prox method for variational inequalities with singular operators
Kimon Antonakopoulos · Veronica Belmega · Panayotis Mertikopoulos
Poster
Dates n/a. @ None
Neural Diffusion Distance for Image Segmentation
Jian Sun · Zongben Xu
Poster
Dates n/a. @ None
Learning Deterministic Weighted Automata with Queries and Counterexamples
Gail Weiss · Yoav Goldberg · Eran Yahav
Poster
Dates n/a. @ None
Visualizing and Measuring the Geometry of BERT
Emily Reif · Ann Yuan · Martin Wattenberg · Fernanda B Viegas · Andy Coenen · Adam Pearce · Been Kim
Poster
Dates n/a. @ None
A Little Is Enough: Circumventing Defenses For Distributed Learning
Gilad Baruch · Moran Baruch · Yoav Goldberg
Poster
Dates n/a. @ None
Extending Stein’s Unbiased Risk Estimator To Train Deep Denoisers with Correlated Pairs of Noisy Images
Magauiya Zhussip · Shakarim Soltanayev · Se Young Chun
Poster
Dates n/a. @ None
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando · Jose A Rodriguez · Jordi Vitria · Alberto Rubio Muñoz
Poster
Dates n/a. @ None
Distributionally Robust Optimization and Generalization in Kernel Methods
Matthew Staib · Stefanie Jegelka
Poster
Dates n/a. @ None
Expressive power of tensor-network factorizations for probabilistic modelling
Ivan Glasser · Ryan Sweke · Nicola Pancotti · Jens Eisert · Ignacio Cirac
Poster
Dates n/a. @ None
Trivializations for Gradient-Based Optimization on Manifolds
Mario Lezcano Casado
Poster
Dates n/a. @ None
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs
Boaz Barak · Chi-Ning Chou · Zhixian Lei · Tselil Schramm · Yueqi Sheng
Poster
Dates n/a. @ None
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs
Naganand Yadati · Madhav Nimishakavi · Prateek Yadav · Vikram Nitin · Anand Louis · Partha Talukdar
Poster
Dates n/a. @ None
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
Mingrui Zhang · Lin Chen · Hamed Hassani · Amin Karbasi
Poster
Dates n/a. @ None
A Deep Probabilistic Model for Compressing Low Resolution Videos
Salvator Lombardo · JUN HAN · Christopher Schroers · Stephan Mandt
Poster
Dates n/a. @ None
Unconstrained Monotonic Neural Networks
Antoine Wehenkel · Gilles Louppe
Poster
Dates n/a. @ None
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Yulia Rubanova · Tian Qi Chen · David Duvenaud
Poster
Dates n/a. @ None
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao · Colin Wei · Adrien Gaidon · Nikos Arechiga · Tengyu Ma
Poster
Dates n/a. @ None
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
Poster
Dates n/a. @ None
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn
Poster
Dates n/a. @ None
Contextual Bandits with Cross-Learning
Santiago Balseiro · Negin Golrezaei · Mohammad Mahdian · Vahab Mirrokni · Jon Schneider
Poster
Dates n/a. @ None
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang · Shali Jiang · Zhicheng Cui · Roman Garnett · Yixin Chen
Poster
Dates n/a. @ None
Random Tessellation Forests
Shufei Ge · Shijia Wang · Yee Whye Teh · Liangliang Wang · Lloyd Elliott
Poster
Dates n/a. @ None
Covariate-Powered Empirical Bayes Estimation
Nikolaos Ignatiadis · Stefan Wager
Poster
Dates n/a. @ None
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
Rui Li
Poster
Dates n/a. @ None
Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao · Yusu Wang
Poster
Dates n/a. @ None
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning
Aaron Defazio · Leon Bottou
Poster
Dates n/a. @ None
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control
Miguel Vaquero · Jorge Cortes
Poster
Dates n/a. @ None
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Bao Wang · Zuoqiang Shi · Stanley Osher
Poster
Dates n/a. @ None
Multi-Agent Common Knowledge Reinforcement Learning
Christian Schroeder de Witt · Jakob Foerster · Gregory Farquhar · Philip Torr · Wendelin Boehmer · Shimon Whiteson
Poster
Dates n/a. @ None
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
Hamid Shayestehmanesh · Sajjad Azami · Nishant Mehta
Poster
Dates n/a. @ None
Efficient Forward Architecture Search
Hanzhang Hu · John Langford · Rich Caruana · Saurajit Mukherjee · Eric J Horvitz · Debadeepta Dey
Poster
Dates n/a. @ None
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu · Andrew Davison · Edward Johns
Poster
Dates n/a. @ None
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback
Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
Poster
Dates n/a. @ None
Sequential Experimental Design for Transductive Linear Bandits
Lalit Jain · Kevin Jamieson · Tanner Fiez · Lillian Ratliff
Poster
Dates n/a. @ None
Fast Sparse Group Lasso
Yasutoshi Ida · Yasuhiro Fujiwara · Hisashi Kashima
Poster
Dates n/a. @ None
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Eric Price · Alistair Stewart
Poster
Dates n/a. @ None
InteractiveRecGAN: a Model Based Reinforcement Learning Method with Adversarial Training for Online Recommendation
Xueying Bai · Jian Guan · Hongning Wang
Poster
Dates n/a. @ None
An Embedding Framework for Consistent Polyhedral Surrogates
Jessica Finocchiaro · Rafael Frongillo · Bo Waggoner
Poster
Dates n/a. @ None
Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis
Yuki Yoshida · Masato Okada
Poster
Dates n/a. @ None
High-Dimensional Optimization in Adaptive Random Subspaces
Jonathan Lacotte · Mert Pilanci · Marco Pavone
Poster
Dates n/a. @ None
Superposition of many models into one
Brian Cheung · Alexander Terekhov · Yubei Chen · Pulkit Agrawal · Bruno Olshausen
Poster
Dates n/a. @ None
Coordinated hippocampal-entorhinal replay as structural inference
Talfan Evans · Neil Burgess
Poster
Dates n/a. @ None
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit · Víctor Campos · Yoshua Bengio
Poster
Dates n/a. @ None
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover · Jiaming Song · Ashish Kapoor · Kenneth Tran · Alekh Agarwal · Eric J Horvitz · Stefano Ermon
Poster
Dates n/a. @ None
Levenshtein Transformer
Jiatao Gu · Changhan Wang · Junbo Zhao
Poster
Dates n/a. @ None
Multi-marginal Wasserstein GAN
Jiezhang Cao · Langyuan Mo · Yifan Zhang · Kui Jia · Chunhua Shen · Mingkui Tan
Poster
Dates n/a. @ None
Meta Architecture Search
Albert Shaw · Wei Wei · Weiyang Liu · Le Song · Bo Dai
Poster
Dates n/a. @ None
Many-Armed Bandits with High-Dimensional Contexts under a Low-Rank Structure
Nima Hamidi · Mohsen Bayati · Kapil Gupta
Poster
Dates n/a. @ None
The Label Complexity of Active Learning from Observational Data
Songbai Yan · Kamalika Chaudhuri · Tara Javidi
Poster
Dates n/a. @ None
Exact sampling of determinantal point processes with sublinear time preprocessing
Michal Derezinski · Daniele Calandriello · Michal Valko
Poster
Dates n/a. @ None
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
Mejbah Alam · Justin Gottschlich · Nesime Tatbul · Javier Turek · Tim Mattson · Abdullah Muzahid
Poster
Dates n/a. @ None
Theoretical evidence for adversarial robustness through randomization
Rafael Pinot · Laurent Meunier · Alexandre Araujo · Hisashi Kashima · Florian Yger · Cedric Gouy-Pailler · Jamal Atif
Poster
Dates n/a. @ None
Meta-Learning Representations for Continual Learning
Khurram Javed · Martha White
Poster
Dates n/a. @ None
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Muhammad Osama · Dave Zachariah · Peter Stoica
Poster
Dates n/a. @ None
Debiased Bayesian inference for average treatment effects
Kolyan Ray · Botond Szabo
Poster
Dates n/a. @ None
Visualizing the PHATE of Neural Networks
Scott Gigante · Adam S Charles · Smita Krishnaswamy · Gal Mishne
Poster
Dates n/a. @ None
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Ji Feng · Qi-Zhi Cai · Zhi-Hua Zhou
Poster
Dates n/a. @ None
The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
Poster
Dates n/a. @ None
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai · Gen Li · H. Vincent Poor · Yuxin Chen
Poster
Dates n/a. @ None
Screening Sinkhorn Algorithm for Regularized Optimal Transport
Mokthar Z. Alaya · Maxime Berar · Gilles Gasso · Alain Rakotomamonjy
Poster
Dates n/a. @ None
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alexander Mott · Daniel Zoran · Mike Chrzanowski · Daan Wierstra · Danilo Jimenez Rezende
Poster
Dates n/a. @ None
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
Igor Colin · Ludovic DOS SANTOS · Kevin Scaman
Poster
Dates n/a. @ None
Channel Gating Neural Networks
Weizhe Hua · Yuan Zhou · Christopher De Sa · Zhiru Zhang · G. Edward Suh
Poster
Dates n/a. @ None
Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti · Edwin Bonilla · Theodoros Damoulas · Sally Cripps
Poster
Dates n/a. @ None
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor · Bryant Chen · Elias Bareinboim
Poster
Dates n/a. @ None
Control What You Can: Intrinsically Motivated Task-Planning Agent
Sebastian Blaes · Marin Vlastelica Pogančić · Jia-Jie Zhu · Georg Martius
Poster
Dates n/a. @ None
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen · Sinan Wang · Bo Fu · Mingsheng Long · Jianmin Wang
Poster
Dates n/a. @ None
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu · Charline Le Lan · Chris J. Maddison · Ryota Tomioka · Yee Whye Teh
Poster
Dates n/a. @ None
Beating SGD Saturation with Tail-Averaging and Minibatching
Nicole Muecke · Gergely Neu · Lorenzo Rosasco
Poster
Dates n/a. @ None
Mapping State Space using Landmarks for Universal Goal Reaching
Zhiao Huang · Hao Su · Fangchen Liu
Poster
Dates n/a. @ None
Curriculum-guided Hindsight Experience Replay
Meng Fang · Tianyi Zhou · Yali Du · Lei Han · Zhengyou Zhang
Poster
Dates n/a. @ None
Learning Hawkes Processes from a handful of events
Farnood Salehi · William Trouleau · Matthias Grossglauser · Patrick Thiran
Poster
Dates n/a. @ None
Random deep neural networks are biased towards simple functions
Giacomo De Palma · Bobak Kiani · Seth Lloyd
Poster
Dates n/a. @ None
Accurate, reliable and fast robustness evaluation
Wieland Brendel · Jonas Rauber · Matthias Kümmerer · Ivan Ustyuzhaninov · Matthias Bethge
Poster
Dates n/a. @ None
Sparse High-Dimensional Isotonic Regression
David Gamarnik · Julia Gaudio
Poster
Dates n/a. @ None
CNN^{2}: Viewpoint Generalization via a Binocular Vision
Wei-Da Chen · Shan-Hung (Brandon) Wu
Poster
Dates n/a. @ None
Cross-Domain Transferable Perturbations
Muhammad Muzammal Naseer · Salman H Khan · Muhammad Haris Khan · Fahad Shahbaz Khan · Fatih Porikli
Poster
Dates n/a. @ None
Kernel quadrature with DPPs
Ayoub Belhadji · Rémi Bardenet · Pierre Chainais
Poster
Dates n/a. @ None
Controlling Neural Level Sets
Matan Atzmon · Niv Haim · Lior Yariv · Ofer Israelov · Haggai Maron · Yaron Lipman
Poster
Dates n/a. @ None
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi · Hamed Hassani · Aryan Mokhtari · Zebang Shen
Poster
Dates n/a. @ None
Learning nonlinear level sets for dimensionality reduction in function approximation
Guannan Zhang · Jiaxin Zhang · Jacob Hinkle
Poster
Dates n/a. @ None
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem · John Cunningham
Poster
Dates n/a. @ None
An Improved Analysis of Training Over-parameterized Deep Neural Networks
Difan Zou · Quanquan Gu
Poster
Dates n/a. @ None
On Differentially Private Graph Sparsification and Applications
Raman Arora · Jalaj Upadhyay
Poster
Dates n/a. @ None
Shaping Belief States with Generative Environment Models for RL
Karol Gregor · Danilo Jimenez Rezende · Frederic Besse · Yan Wu · Hamza Merzic · Aaron van den Oord
Poster
Dates n/a. @ None
Controllable Text to Image Generation
Bowen Li · Xiaojuan Qi · Thomas Lukasiewicz · Philip Torr
Poster
Dates n/a. @ None
Object landmark discovery through unsupervised adaptation
Enrique Sanchez · Georgios Tzimiropoulos
Poster
Dates n/a. @ None
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
Ashia Wilson · Lester Mackey · Andre Wibisono
Poster
Dates n/a. @ None
On Robustness to Adversarial Examples and Polynomial Optimization
Pranjal Awasthi · Abhratanu Dutta · Aravindan Vijayaraghavan
Poster
Dates n/a. @ None
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang · Chenyang Tao · Zhe Gan · Guoyin Wang · Liqun Chen · Xinyuan Zhang · Ruiyi Zhang · Qian Yang · Ricardo Henao · Lawrence Carin
Poster
Dates n/a. @ None
Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch · Yixin Wang · David Blei
Poster
Dates n/a. @ None
Rethinking Generative Coverage: A Pointwise Guaranteed Approach
Peilin Zhong · Yuchen Mo · Chang Xiao · Pengyu Chen · Changxi Zheng
Poster
Dates n/a. @ None
PolyTree framework for tree ensemble analysis
Igor Kuralenok · Vasilii Ershov · Igor Labutin
Poster
Dates n/a. @ None
Fully Neural Network based Model for General Temporal Point Processes
Takahiro Omi · naonori ueda · Kazuyuki Aihara
Poster
Dates n/a. @ None
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
Mehmet Fatih Sahin · Armin eftekhari · Ahmet Alacaoglu · Fabian Latorre Gomez · Volkan Cevher
Poster
Dates n/a. @ None
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Joshua Hanson · Maxim Raginsky
Poster
Dates n/a. @ None
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
Deeksha Adil · Richard Peng · Sushant Sachdeva
Poster
Dates n/a. @ None
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
Faidra Georgia Monachou · Itai Ashlagi
Poster
Dates n/a. @ None
Integrating mechanistic and structural causal models enables counterfactual inference in complex systems
Robert Ness · Kaushal Paneri · Olga Vitek
Poster
Dates n/a. @ None
Consistent Constraint-Based Causal Structure Learning
Honghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert
Poster
Dates n/a. @ None
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
Miika Aittala · Prafull Sharma · Lukas Murmann · Adam Yedidia · Gregory Wornell · Bill Freeman · Fredo Durand
Poster
Dates n/a. @ None
Order Optimal One-Shot Distributed Learning
Arsalan Sharifnassab · Saber Salehkaleybar · S. Jamaloddin Golestani
Poster
Dates n/a. @ None
When to use parametric models in reinforcement learning?
Hado van Hasselt · Matteo Hessel · John Aslanides
Poster
Dates n/a. @ None
Untangling in Invariant Speech Recognition
Cory Stephenson · Jenelle Feather · Suchismita Padhy · Oguz Elibol · Hanlin Tang · Josh McDermott · SueYeon Chung
Poster
Dates n/a. @ None
Information Competing Process for Learning Diversified Representations
Jie Hu · Rongrong Ji · ShengChuan Zhang · Xiaoshuai Sun · Qixiang Ye · Chia-Wen Lin · Qi Tian
Poster
Dates n/a. @ None
Flexible information routing in neural populations through stochastic comodulation
Caroline Haimerl · Cristina Savin · Eero Simoncelli
Poster
Dates n/a. @ None
Categorized Bandits
Matthieu Jedor · Vianney Perchet · Jonathan Louedec
Poster
Dates n/a. @ None
Non-Asymptotic Pure Exploration by Solving Games
Rémy Degenne · Wouter Koolen · Pierre Ménard
Poster
Dates n/a. @ None
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
Aviv Rosenberg · Yishay Mansour
Poster
Dates n/a. @ None
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Andrey Malinin · Mark Gales
Poster
Dates n/a. @ None
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
Rohith Kuditipudi · Xiang Wang · Holden Lee · Yi Zhang · Zhiyuan Li · Wei Hu · Rong Ge · Sanjeev Arora
Poster
Dates n/a. @ None
Deep Leakage from Gradients
Ligeng Zhu · Zhijian Liu · Song Han
Poster
Dates n/a. @ None
Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
Poster
Dates n/a. @ None
Generating Diverse High-Fidelity Images with VQVAE-2
Ali Razavi · Aaron van den Oord · Oriol Vinyals
Poster
Dates n/a. @ None
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed · Maziar Sanjabi · Tianjian Huang · Jason Lee · Meisam Razaviyayn
Poster
Dates n/a. @ None
Computational Separations between Sampling and Optimization
Kunal Talwar
Poster
Dates n/a. @ None
Kernel Stein Tests for Multiple Model Comparison
Jen Ning Lim · Makoto Yamada · Bernhard Schölkopf · Wittawat Jitkrittum
Poster
Dates n/a. @ None
Semi-Parametric Efficient Policy Learning with Continuous Actions
Victor Chernozhukov · Mert Demirer · Greg Lewis · Vasilis Syrgkanis
Poster
Dates n/a. @ None
Precise and Scalable Convex Relaxations for Robustness Certification
Gagandeep Singh · Rupanshu Ganvir · Markus Püschel · Martin Vechev
Poster
Dates n/a. @ None
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Joshua Robinson · Suvrit Sra · Stefanie Jegelka
Poster
Dates n/a. @ None
Disentangled behavioural representations
Amir Dezfouli · Hassan Ashtiani · Omar Ghattas · Richard Nock · Peter Dayan · Cheng Soon Ong
Poster
Dates n/a. @ None
Flattening a Hierarchical Clustering through Active Learning
Fabio Vitale · Anand Rajagopalan · Claudio Gentile
Poster
Dates n/a. @ None
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
Kwang-Sung Jun · Ashok Cutkosky · Francesco Orabona
Poster
Dates n/a. @ None
More Is Less: Learning Efficient Video Representations by Temporal Aggregation Module
Quanfu Fan · Chun-Fu (Richard) Chen · Hilde Kuehne · Marco Pistoia · David Cox
Poster
Dates n/a. @ None
Input-Output Equivalence of Unitary and Contractive RNNs
Melikasadat Emami · Mojtaba Sahraee Ardakan · Sundeep Rangan · Alyson Fletcher
Poster
Dates n/a. @ None
Multiple Futures Prediction
Charlie Tang · Russ Salakhutdinov
Poster
Dates n/a. @ None
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski · Stephan Günnemann
Poster
Dates n/a. @ None
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas Mueller · Vasilis Syrgkanis · Matt Taddy
Poster
Dates n/a. @ None
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan · Omid Poursaeed · Vitaly Shmatikov
Poster
Dates n/a. @ None
Hyper-Graph-Network Decoders for Block Codes
Eliya Nachmani · Lior Wolf
Poster
Dates n/a. @ None
Large Scale Markov Decision Processes with Changing Rewards
Adrian Rivera Cardoso · He Wang · Huan Xu
Poster
Dates n/a. @ None
Semi-Parametric Dynamic Contextual Pricing
Virag Shah · Ramesh Johari · Jose Blanchet
Poster
Dates n/a. @ None
Learning Deep MRFs with Amortized Bethe Free Energy Minimization
Sam Wiseman · Yoon Kim
Poster
Dates n/a. @ None
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
Abhinav Verma · Hoang Le · Yisong Yue · Swarat Chaudhuri
Poster
Dates n/a. @ None
Information-Theoretic Confidence Bounds for Reinforcement Learning
Xiuyuan Lu · Benjamin Van Roy
Poster
Dates n/a. @ None
Training Image Estimators without Image Ground Truth
Zhihao Xia · Ayan Chakrabarti
Poster
Dates n/a. @ None
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
Ping Li · Xiaoyun Li · Cun-Hui Zhang
Poster
Dates n/a. @ None
Perceiving the arrow of time in autoregressive motion
Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann
Poster
Dates n/a. @ None
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
Zhe Wang · Kaiyi Ji · Yi Zhou · Yingbin Liang · Vahid Tarokh
Poster
Dates n/a. @ None
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo Mena · Jonathan Niles-Weed
Poster
Dates n/a. @ None
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Adil SALIM · Dmitry Koralev · Peter Richtarik
Poster
Dates n/a. @ None
Graph-based Discriminators: Sample Complexity and Expressiveness
Roi Livni · Yishay Mansour
Poster
Dates n/a. @ None
Deep Structured Prediction for Facial Landmark Detection
Lisha Chen · Hui Su · Qiang Ji
Poster
Dates n/a. @ None
Large Memory Layers with Product Keys
Guillaume Lample · Alexandre Sablayrolles · Marc'Aurelio Ranzato · Ludovic Denoyer · Herve Jegou
Poster
Dates n/a. @ None
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Lenka Zdeborová
Poster
Dates n/a. @ None
Transfer Anomaly Detection by Inferring Latent Domain Representations
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
Poster
Dates n/a. @ None
Smoothing Structured Decomposable Circuits
Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
Poster
Dates n/a. @ None
Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
Poster
Dates n/a. @ None
Total Least Squares Regression in Input Sparsity Time
Huaian Diao · Zhao Song · David Woodruff · Xin Yang
Poster
Dates n/a. @ None
Park: An Open Platform for Learning-Augmented Computer Systems
Hongzi Mao · Parimarjan Negi · Akshay Narayan · Hanrui Wang · Jiacheng Yang · Haonan Wang · Ryan Marcus · ravichandra addanki · Mehrdad Khani Shirkoohi · Songtao He · Vikram Nathan · Frank Cangialosi · Shaileshh Venkatakrishnan · Wei-Hung Weng · Song Han · Tim Kraska · Dr.Mohammad Alizadeh
Poster
Dates n/a. @ None
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi · David Blei · Victor Veitch
Poster
Dates n/a. @ None
Recovering Bandits
Ciara Pike-Burke · Steffen Grunewalder
Poster
Dates n/a. @ None
Learning Transferable Graph Exploration
Hanjun Dai · Yujia Li · Chenglong Wang · Rishabh Singh · Po-Sen Huang · Pushmeet Kohli
Poster
Dates n/a. @ None
Positive-Unlabeled Compression on the Cloud
Yixing Xu · Yunhe Wang · Hanting Chen · Kai Han · Chunjing XU · Dacheng Tao · Chang Xu
Poster
Dates n/a. @ None
Third-Person Visual Imitation Learning via Decoupled Hierarchical Control
Pratyusha Sharma · Deepak Pathak · Abhinav Gupta
Poster
Dates n/a. @ None
Stagewise Training Accelerates Convergence of Testing Error Over SGD
Zhuoning Yuan · Yan Yan · Jing Rong · Tianbao Yang
Poster
Dates n/a. @ None
Learning Robust Options by Conditional Value at Risk Optimization
Takuya Hiraoka · Takahisa Imagawa · Tatsuya Mori · Takashi Onishi · Yoshimasa Tsuruoka
Poster
Dates n/a. @ None
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective
Lili Su · Pengkun Yang
Poster
Dates n/a. @ None
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
Fuwen Tan · Paola Cascante-Bonilla · Xiaoxiao Guo · Hui Wu · Song Feng · Vicente Ordonez
Poster
Dates n/a. @ None
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim · Ambuj Tewari
Poster
Dates n/a. @ None
Knowledge Extraction with No Observable Data
Jaemin Yoo · Minyong Cho · Taebum Kim · U Kang
Poster
Dates n/a. @ None
PAC-Bayes under potentially heavy tails
Matthew Holland
Poster
Dates n/a. @ None
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh · Yi-Chen Lo · Hwann-Tzong Chen · Tyng-Luh Liu
Poster
Dates n/a. @ None
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng · Wei Wu · Fei Wang · Xiaoya Li · Ping Nie · Fan Yin · Muyu Li · Qinghong Han · Xiaofei Sun · Jiwei Li
Poster
Dates n/a. @ None
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
Sascha Saralajew · Lars Holdijk · Maike Rees · Ebubekir Asan · Thomas Villmann
Poster
Dates n/a. @ None
Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka · Antti Hyttinen · Juha Karvanen
Poster
Dates n/a. @ None
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
Zihan Zhang · Xiangyang Ji
Poster
Dates n/a. @ None
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Sulaiman Alghunaim · Kun Yuan · Ali H Sayed
Poster
Dates n/a. @ None
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits
Sivan Sabato
Poster
Dates n/a. @ None
Addressing Failure Detection by Learning Model Confidence
Charles Corbière · Nicolas THOME · Avner Bar-Hen · Matthieu Cord · Patrick Pérez
Poster
Dates n/a. @ None
Combinatorial Bayesian Optimization using the Graph Cartesian Product
Changyong Oh · Jakub Tomczak · Efstratios Gavves · Max Welling
Poster
Dates n/a. @ None
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo · Sunghwan Joo · Taesup Moon
Poster
Dates n/a. @ None
On Lazy Training in Differentiable Programming
Lénaïc Chizat · Edouard Oyallon · Francis Bach
Poster
Dates n/a. @ None
Quality Aware Generative Adversarial Networks
Kancharla Parimala · Sumohana Channappayya
Poster
Dates n/a. @ None
Implicit Regularization for Optimal Sparse Recovery
Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini
Poster
Dates n/a. @ None
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu · Yuanqi Chen · Shan Liu · Thomas Li · Ge Li
Poster
Dates n/a. @ None
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Gedas Bertasius · Christoph Feichtenhofer · Du Tran · Jianbo Shi · Lorenzo Torresani
Poster
Dates n/a. @ None
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu · Dixin Luo · Lawrence Carin
Poster
Dates n/a. @ None
Learning Stable Deep Dynamics Models
J. Zico Kolter · Gaurav Manek
Poster
Dates n/a. @ None
Robust Multi-agent Counterfactual Prediction
Alexander Peysakhovich · Christian Kroer · Adam Lerer
Poster
Dates n/a. @ None
Augmented Neural ODEs
Emilien Dupont · Arnaud Doucet · Yee Whye Teh
Poster
Dates n/a. @ None
A Necessary and Sufficient Stability Notion for Adaptive Generalization
Moshe Shenfeld · Katrina Ligett
Poster
Dates n/a. @ None
Ultrametric Fitting by Gradient Descent
Giovanni Chierchia · Benjamin Perret
Poster
Dates n/a. @ None
Distinguishing Distributions When Samples Are Strategically Transformed
Hanrui Zhang · Yu Cheng · Vincent Conitzer
Poster
Dates n/a. @ None
Deep Set Prediction Networks
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett
Poster
Dates n/a. @ None
DppNet: Approximating Determinantal Point Processes with Deep Networks
Zelda Mariet · Yaniv Ovadia · Jasper Snoek
Poster
Dates n/a. @ None
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
Sai Qian Zhang · Qi Zhang · Jieyu Lin
Poster
Dates n/a. @ None
Neural Lyapunov Control
Ya-Chien Chang · Nima Roohi · Sicun Gao
Poster
Dates n/a. @ None
Self-normalization in Stochastic Neural Networks
Georgios Detorakis · Sourav Dutta · Abhishek Khanna · Matthew Jerry · Suman Datta · Emre Neftci
Poster
Dates n/a. @ None
Optimal Decision Tree with Noisy Outcomes
Su Jia · viswanath nagarajan · Fatemeh Navidi · R Ravi
Poster
Dates n/a. @ None
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
Nathan Kallus · Masatoshi Uehara
Poster
Dates n/a. @ None
Transfusion: Understanding Transfer Learning for Medical Imaging
Maithra Raghu · Chiyuan Zhang · Jon Kleinberg · Samy Bengio
Poster
Dates n/a. @ None
Conformalized Quantile Regression
Yaniv Romano · Evan Patterson · Emmanuel Candes
Poster
Dates n/a. @ None
Implicitly learning to reason in first-order logic
Vaishak Belle · Brendan Juba
Poster
Dates n/a. @ None
Regularized Weighted Low Rank Approximation
Frank Ban · David Woodruff · Richard Zhang
Poster
Dates n/a. @ None
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu · Lu Zhang · Xintao Wu · Hanghang Tong
Poster
Dates n/a. @ None
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
Nathan Kallus · Angela Zhou
Poster
Dates n/a. @ None
Exact inference in structured prediction
Kevin Bello · Jean Honorio
Poster
Dates n/a. @ None
Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
Poster
Dates n/a. @ None
Thompson Sampling with Information Relaxation Penalties
Seungki Min · Costis Maglaras · Ciamac C Moallemi
Poster
Dates n/a. @ None
Dance to Music
Hsin-Ying Lee · Xiaodong Yang · Ming-Yu Liu · Ting-Chun Wang · Yu-Ding Lu · Ming-Hsuan Yang · Jan Kautz
Poster
Dates n/a. @ None
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou · Janice Lan · Rosanne Liu · Jason Yosinski
Poster
Dates n/a. @ None
Predicting the Politics of an Image Using Webly Supervised Data
Christopher Thomas · Adriana Kovashka
Poster
Dates n/a. @ None
Semantically-Regularized Logic Graph Embeddings
Xie Yaqi · Ziwei Xu · Kuldeep S Meel · Mohan Kankanhalli · Harold Soh
Poster
Dates n/a. @ None
Asymptotics for Sketching in Least Squares Regression
Edgar Dobriban · Sifan Liu
Poster
Dates n/a. @ None
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine
Poster
Dates n/a. @ None
Coda: An End-to-End Neural Program Decompiler
Cheng Fu · Huili Chen · Haolan Liu · Xinyun Chen · Yuandong Tian · Farinaz Koushanfar · Jishen Zhao
Poster
Dates n/a. @ None
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani · Aaron Mishkin · Issam Laradji · Mark Schmidt · Gauthier Gidel · Simon Lacoste-Julien
Poster
Dates n/a. @ None
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Jonathan Ullman · Adam Sealfon
Poster
Dates n/a. @ None
Learning Representations for Time Series Clustering
Qianli Ma · Jiawei Zheng · Sen Li · Gary W Cottrell
Poster
Dates n/a. @ None
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
Wenhao Zhang · Si Wu · Brent Doiron · Tai Sing Lee
Poster
Dates n/a. @ None
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
Lorenzo Dall'Amico · Romain Couillet · Nicolas Tremblay
Poster
Dates n/a. @ None
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
Qitian Wu · Zixuan Zhang · Xiaofeng Gao · Junchi Yan · Guihai Chen
Poster
Dates n/a. @ None
Cross-sectional Learning of Extremal Dependence among Financial Assets
Xing Yan · Qi Wu · Wen Zhang
Poster
Dates n/a. @ None
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans · Daniel Moyer · Aram Galstyan · Greg Ver Steeg
Poster
Dates n/a. @ None
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization
Shangyu Chen · Wenya Wang · Sinno Jialin Pan
Poster
Dates n/a. @ None
A First-order Algorithmic Framework for Distributionally Robust Logistic Regression
JIAJIN LI · SEN HUANG · Anthony Man-Cho So
Poster
Dates n/a. @ None
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise
Quentin Bertrand · Mathurin Massias · Alexandre Gramfort · Joseph Salmon
Poster
Dates n/a. @ None
Uncoupled Regression from Pairwise Comparison Data
Ritsugen Jo · Junya Honda · Gang Niu · Masashi Sugiyama
Poster
Dates n/a. @ None
Cross Attention Network for Few-shot Classification
Ruibing Hou · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen
Poster
Dates n/a. @ None
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang · Zhanhong Tan · Jiebo Song · Jingwei Chen · Chenglong Bao · Kaisheng Ma
Poster
Dates n/a. @ None
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker · Yuxin Chen · Oisin Mac Aodha · Manuel Gomez Rodriguez · Andreas Krause · Pietro Perona · Yisong Yue · Adish Singla
Poster
Dates n/a. @ None
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Maxim Kuznetsov · Daniil Polykovskiy · Dmitry Vetrov · Alexander Zhebrak
Poster
Dates n/a. @ None
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis · Jonas Landman · Alessandro Luongo · Anupam Prakash
Poster
Dates n/a. @ None
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
Sebastian Tschiatschek · Ahana Ghosh · Luis Haug · Rati Devidze · Adish Singla
Poster
Dates n/a. @ None
Flow-based Image-to-Image Translation with Feature Disentanglement
Ruho Kondo · Keisuke Kawano · Satoshi Koide · Takuro Kutsuna
Poster
Dates n/a. @ None
Shape and Time Distorsion Loss for Training Deep Time Series Forecasting Models
Vincent LE GUEN · Nicolas THOME
Poster
Dates n/a. @ None
Curvilinear Distance Metric Learning
Shuo Chen · Lei Luo · Jian Yang · Chen Gong · Jun Li · Heng Huang
Poster
Dates n/a. @ None
Modeling Uncertainty by Learning A Hierarchy of Deep Neural Connections
Raanan Yehezkel Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik
Poster
Dates n/a. @ None
Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng · Jianlong Fu · Zheng-Jun Zha · Jiebo Luo
Poster
Dates n/a. @ None
Pseudo-Extended Markov chain Monte Carlo
Christopher Nemeth · Fredrik Lindsten · Maurizio Filippone · James Hensman
Poster
Dates n/a. @ None
On Adversarial Mixup Resynthesis
Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal
Poster
Dates n/a. @ None
Understanding and Improving Layer Normalization
Jingjing Xu · Xu Sun · Zhiyuan Zhang · Guangxiang Zhao · Junyang Lin
Poster
Dates n/a. @ None
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev · Michael Jensen · Sune Darkner · Poul Jørgen Jennum · Christian Igel
Poster
Dates n/a. @ None
Massively scalable Sinkhorn distances via the Nyström method
Jason Altschuler · Francis Bach · Alessandro Rudi · Jonathan Niles-Weed
Poster
Dates n/a. @ None
Double Quantization for Communication-Efficient Distributed Optimization
Yue Yu · Jiaxiang Wu · Longbo Huang
Poster
Dates n/a. @ None
Multi-relational Poincaré Graph Embeddings
Ivana Balazevic · Carl Allen · Timothy Hospedales
Poster
Dates n/a. @ None
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi · Aymeric Dieuleveut · Martin Jaggi
Poster
Dates n/a. @ None
Disentangling Influence: Using disentangled representations to audit model predictions
Charles Marx · Richard Phillips · Sorelle Friedler · Carlos Scheidegger · Suresh Venkatasubramanian
Poster
Dates n/a. @ None
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
David Janz · Jiri Hron · Przemysław Mazur · Katja Hofmann · José Miguel Hernández-Lobato · Sebastian Tschiatschek
Poster
Dates n/a. @ None
Decentralized Cooperative Stochastic Bandits
David Martínez-Rubio · Varun Kanade · Patrick Rebeschini
Poster
Dates n/a. @ None
Efficient Deep Approximation of GMMs
Shirin Jalali · Carl Nuzman · Iraj Saniee
Poster
Dates n/a. @ None
Learning low-dimensional state embeddings and metastable clusters from time series data
Yifan Sun · Yaqi Duan · Hao Gong · Mengdi Wang
Poster
Dates n/a. @ None
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
Creighton Heaukulani · Mark van der Wilk
Poster
Dates n/a. @ None
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
Supratik Paul · Vitaly Kurin · Shimon Whiteson
Poster
Dates n/a. @ None
Making the Cut: A Bandit-based Approach to Tiered Interviewing
Candice Schumann · Zhi Lang · Jeffrey Foster · John Dickerson
Poster
Dates n/a. @ None
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
Tao Tu · John Paisley · Stefan Haufe · Paul Sajda
Poster
Dates n/a. @ None
Game Design for Eliciting Distinguishable Behavior
Fan Yang · Liu Leqi · Yifan Wu · Zachary Lipton · Pradeep Ravikumar · Tom M Mitchell · William Cohen
Poster
Dates n/a. @ None
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
Harsh Gupta · R. Srikant · Lei Ying
Poster
Dates n/a. @ None
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
Cole Hurwitz · Kai Xu · Akash Srivastava · Alessio Buccino · Matthias Hennig
Poster
Dates n/a. @ None
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
Basri Ronen · David Jacobs · Yoni Kasten · Shira Kritchman
Poster
Dates n/a. @ None
Blocking Bandits
Soumya Basu · Rajat Sen · Sujay Sanghavi · Sanjay Shakkottai
Poster
Dates n/a. @ None
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
Andrey Kolobov · Yuval Peres · Cheng Lu · Eric J Horvitz
Poster
Dates n/a. @ None
Prior-Free Dynamic Auctions with Low Regret Buyers
Yuan Deng · Jon Schneider · Balasubramanian Sivan
Poster
Dates n/a. @ None
Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett · Nathan Kallus
Poster
Dates n/a. @ None
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen · Hsiang-Fu Yu · Inderjit S Dhillon
Poster
Dates n/a. @ None
Hyperbolic Graph Convolutional Neural Networks
Zhitao Ying · Ines Chami · Christopher Ré · Jure Leskovec
Poster
Dates n/a. @ None
Cost Effective Active Search
Shali Jiang · Roman Garnett · Benjamin Moseley
Poster
Dates n/a. @ None
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
Xiao Sun · Jungwook Choi · Chia-Yu Chen · Naigang Wang · Swagath Venkataramani · Vijayalakshmi (Viji) Srinivasan · Xiaodong Cui · Wei Zhang · Kailash Gopalakrishnan
Poster
Dates n/a. @ None
Cold Case: The Lost MNIST Digits
Chhavi Yadav · Leon Bottou
Poster
Dates n/a. @ None
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos · Haonan Yu · Michela Paganini · Yuandong Tian
Poster
Dates n/a. @ None
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
Chuan Guo · Ali Mousavi · Xiang Wu · Daniel Holtmann-Rice · Satyen Kale · Sashank Reddi · Sanjiv Kumar
Poster
Dates n/a. @ None
Fair Algorithms for Clustering
Suman Bera · Deeparnab Chakrabarty · Nicolas Flores · Maryam Negahbani
Poster
Dates n/a. @ None
Learning Mean-Field Games
Xin Guo · Anran Hu · Renyuan Xu · Junzi Zhang
Poster
Dates n/a. @ None
Deep imitation learning for molecular inverse problems
Eric Jonas
Poster
Dates n/a. @ None
Visual Concept-Metaconcept Learning
Chi Han · Jiayuan Mao · Chuang Gan · Josh Tenenbaum · Jiajun Wu
Poster
Dates n/a. @ None
Adaptive Video-to-Video Synthesis via Network Weight Generation
Ting-Chun Wang · Ming-Yu Liu · Andrew Tao · Fitsum Reda · Bryan Catanzaro · Jan Kautz
Poster
Dates n/a. @ None
Neural Similarity Learning
Weiyang Liu · Zhen Liu · James M Rehg · Le Song
Poster
Dates n/a. @ None
Deep Multivariate Quantiles for Novelty Detection
Jingjing Wang · Sun Sun · Yaoliang Yu
Poster
Dates n/a. @ None
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
Jicong Fan · Lijun Ding · Yudong Chen · Madeleine Udell
Poster
Dates n/a. @ None
Mutually Regressive Point Processes
Ifigeneia Apostolopoulou · Scott Linderman · Kyle Miller · Artur Dubrawski
Poster
Dates n/a. @ None
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving
Ziyu Jiang · Yue Wang · Xiaohan Chen · Pengfei Xu · Yang Zhao · Yingyan Lin · Zhangyang Wang
Poster
Dates n/a. @ None
ANODEV2: A Coupled Neural ODE Framework
Tianjun Zhang · Zhewei Yao · Amir Gholami · Joseph Gonzalez · Kurt Keutzer · Michael W Mahoney · George Biros
Poster
Dates n/a. @ None
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll · Rohin Shah · Mark Ho · Tom Griffiths · Sanjit Seshia · Pieter Abbeel · Anca Dragan
Poster
Dates n/a. @ None
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
Gabriele Farina · Christian Kroer · Tuomas Sandholm
Poster
Dates n/a. @ None
On Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp · Mitch Hill · Song-Chun Zhu · Ying Nian Wu
Poster
Dates n/a. @ None
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li · Xiaoyong Jin · Yao Xuan · Xiyou Zhou · Wenhu Chen · Yu-Xiang Wang · Xifeng Yan
Poster
Dates n/a. @ None
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei Koh · Kai-Siang Ang · Hubert Teo · Percy Liang
Poster
Dates n/a. @ None
Learning Disentangled Representation for Robust Person Re-identification
Chanho Eom · Bumsub Ham
Poster
Dates n/a. @ None
Balancing Efficiency and Fairness in On-Demand Ridesourcing
Nixie S Lesmana · Xuan Zhang · Xiaohui Bei
Poster
Dates n/a. @ None
Input Similarity from the Neural Network Perspective
Guillaume Charpiat · Nicolas Girard · Loris Felardos · Yuliya Tarabalka
Poster
Dates n/a. @ None
Policy Learning for Fairness in Ranking
Ashudeep Singh · Thorsten Joachims
Poster
Dates n/a. @ None
Off-Policy Evaluation of Generalization for Deep Q-Learning in Binary Reward Tasks
Alexander Irpan · Kanishka Rao · Konstantinos Bousmalis · Chris Harris · Julian Ibarz · Sergey Levine
Poster
Dates n/a. @ None
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood
Poster
Dates n/a. @ None
Markov Random Fields for Collaborative Filtering
Harald Steck
Poster
Dates n/a. @ None
On Accelerating Training of Transformer-Based Language Models
Qian Yang · Zhouyuan Huo · Wenlin Wang · Lawrence Carin
Poster
Dates n/a. @ None
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco Garcia · Philip Thomas
Poster
Dates n/a. @ None
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi · Shin-ichi Maeda · Masanori Koyama · Takeru Miyato
Poster
Dates n/a. @ None
Co-Generation with GANs using AIS based HMC
Tiantian Fang · Alexander Schwing
Poster
Dates n/a. @ None
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng · Wei Chen
Poster
Dates n/a. @ None
Focused Quantization for Sparse CNNs
Yiren Zhao · Xitong Gao · Daniel Bates · Robert Mullins · Cheng-Zhong Xu
Poster
Dates n/a. @ None
Quantum Embedding of Knowledge for Reasoning
Dinesh Garg · Shajith Ikbal Mohamed · Santosh Srivastava · Harit Vishwakarma · Hima Karanam · L Venkata Subramaniam
Poster
Dates n/a. @ None
Scalable inference of topic evolution via models for latent geometric structures
Mikhail Yurochkin · Zhiwei Fan · Aritra Guha · Paraschos Koutris · XuanLong Nguyen
Poster
Dates n/a. @ None
A Latent Variational Framework for Stochastic Optimization
Philippe Casgrain
Poster
Dates n/a. @ None
Connective Cognition Network for Directional Visual Commonsense Reasoning
Aming Wu · Linchao Zhu · Yahong Han · Yi Yang
Poster
Dates n/a. @ None
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently
Xiao Liu · Xiaolong Zou · Zilong Ji · Gengshuo Tian · Yuanyuan Mi · Tiejun Huang · K. Y. Michael Wong · Si Wu
Poster
Dates n/a. @ None
In-Place Near Zero-Cost Memory Protection for DNN
Hui Guan · Lin Ning · Zhen Lin · Xipeng Shen · Huiyang Zhou · Seung-Hwan Lim
Poster
Dates n/a. @ None
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex
Jianghong Shi · Eric Shea-Brown · Michael Buice
Poster
Dates n/a. @ None
Mining GOLD Samples for Conditional GANs
Sangwoo Mo · Chiheon Kim · Sungwoong Kim · Minsu Cho · Jinwoo Shin
Poster
Dates n/a. @ None
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Ronghui You · Zihan Zhang · Ziye Wang · Suyang Dai · Hiroshi Mamitsuka · Shanfeng Zhu
Poster
Dates n/a. @ None
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Himanshu Sahni · Toby Buckley · Pieter Abbeel · Ilya Kuzovkin
Poster
Dates n/a. @ None
Doubly-Robust Lasso Bandit
Gi-Soo Kim · Myunghee Cho Paik
Poster
Dates n/a. @ None
Progressive Augmentation of GANs
Dan Zhang · Anna Khoreva
Poster
Dates n/a. @ None
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
Wenhao Yang · Xiang Li · Zhihua Zhang
Poster
Dates n/a. @ None
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
Siqi Wang · Yijie Zeng · Xinwang Liu · En Zhu · Jianping Yin · Chuanfu Xu · Marius Kloft
Poster
Dates n/a. @ None
DFNets: Spectral CNNs for Graphs with Feedback-looped Filters
W. O. K. Asiri Suranga Wijesinghe · Qing Wang
Poster
Dates n/a. @ None
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim · Yoonho Lee
Poster
Dates n/a. @ None
Comparing Unsupervised Word Translation Methods Step by Step
Mareike Hartmann · Yova Kementchedjhieva · Anders Søgaard
Poster
Dates n/a. @ None
Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen · Sujay Sanghavi
Poster
Dates n/a. @ None
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini · Alessandro Laio · Jakob H Macke · Davide Zoccolan
Poster
Dates n/a. @ None
Compositional De-Attention Networks
Yi Tay · Anh Tuan Luu · Aston Zhang · Shuohang Wang · Siu Cheung Hui
Poster
Dates n/a. @ None
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
Jian Ni · Shanghang Zhang · Haiyong Xie
Poster
Dates n/a. @ None
Deep Model Transferability from Attribution Maps
Jie Song · Yixin Chen · Xinchao Wang · Chengchao Shen · Mingli Song
Poster
Dates n/a. @ None
Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Motonobu Kanagawa · Philipp Hennig
Poster
Dates n/a. @ None
Meta-Surrogate Benchmarking for Hyperparameter Optimization
Aaron Klein · Zhenwen Dai · Frank Hutter · Neil Lawrence · Javier Gonzalez
Poster
Dates n/a. @ None
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen · Yuandong Tian
Poster
Dates n/a. @ None
Anti-efficient encoding in emergent communication
Rahma Chaabouni · Eugene Kharitonov · Emmanuel Dupoux · Marco Baroni
Poster
Dates n/a. @ None
Singleshot : a scalable Tucker tensor decomposition
Abraham Traore · Maxime Berar · Alain Rakotomamonjy
Poster
Dates n/a. @ None
Variational Bayesian Optimal Experimental Design
Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Tom Rainforth · Noah Goodman
Poster
Dates n/a. @ None
On the Statistical Properties of Multilabel Learning
Weiwei Liu
Poster
Dates n/a. @ None
Bayesian Learning of Sum-Product Networks
Martin Trapp · Robert Peharz · Hong Ge · Franz Pernkopf · Zoubin Ghahramani
Poster
Dates n/a. @ None
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
zengfeng Huang · Ziyue Huang · Yilei WANG · Ke Yi
Poster
Dates n/a. @ None
Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami
Poster
Dates n/a. @ None
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska · David Lopez-Paz
Poster
Dates n/a. @ None
Is Deeper Better only when Shallow is Good?
Eran Malach · Shai Shalev-Shwartz
Poster
Dates n/a. @ None
Grid Saliency for Context Explanations of Semantic Segmentation
Lukas Hoyer · Mauricio Munoz · Prateek Katiyar · Anna Khoreva · Volker Fischer
Poster
Dates n/a. @ None
First-order methods almost always avoid saddle points: The case of Vanishing step-sizes
Ioannis Panageas · Georgios Piliouras · Xiao Wang
Poster
Dates n/a. @ None
Oblivious Sampling Algorithms for Private Data Analysis
Olga Ohrimenko · Sajin Sasy
Poster
Dates n/a. @ None
Semi-supervisedly Co-embedding Attributed Networks
Zai Qiao Meng · Shangsong Liang · Jinyuan Fang · Teng Xiao
Poster
Dates n/a. @ None
Nonstochastic Multiarmed Bandits with Unrestricted Delays
Tobias Sommer Thune · Nicolò Cesa-Bianchi · Yevgeny Seldin
Poster
Dates n/a. @ None
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
David Salinas · Michael Bohlke-Schneider · Laurent Callot · Jan Gasthaus · Roberto Medico
Poster
Dates n/a. @ None
Diffeomorphic Temporal Alignment Networks
Ron A Shapira Weber · Matan Eyal · Nicki Skafte Detlefsen · Oren Shriki · Oren Freifeld
Poster
Dates n/a. @ None
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
Cheng-Chun Hsu · Kuang-Jui Hsu · Chung-Chi Tsai · Yen-Yu Lin · Yung-Yu Chuang
Poster
Dates n/a. @ None
On the Power and Limitations of Random Features for Understanding Neural Networks
Gilad Yehudai · Ohad Shamir
Poster
Dates n/a. @ None
Gradient Information for Representation and Modeling
Jie Ding · Robert Calderbank · Vahid Tarokh
Poster
Dates n/a. @ None
Multi-objects Generation with Amortized Structural Regularization
Taufik Xu · Chongxuan LI · Jun Zhu · Bo Zhang
Poster
Dates n/a. @ None
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time
Karlis Freivalds · Emīls Ozoliņš · Agris Šostaks
Poster
Dates n/a. @ None
On the Convergence Rate of Training Recurrent Neural Networks in the Overparameterized Regime
Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song
Poster
Dates n/a. @ None
Interval timing in deep reinforcement learning agents
Ben Deverett · Ryan Faulkner · Meire Fortunato · Gregory Wayne · Joel Leibo
Poster
Dates n/a. @ None
Large Scale Structure of Neural Network Loss Landscapes
Stanislav Fort · Stanislaw Jastrzebski
Poster
Dates n/a. @ None
Learning Sparse Distributions using Iterative Hard Thresholding
Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Oluwasanmi Koyejo
Poster
Dates n/a. @ None
Quantum Wasserstein Generative Adversarial Networks
Shouvanik Chakrabarti · Huang Yiming · Tongyang Li · Soheil Feizi · Xiaodi Wu
Poster
Dates n/a. @ None
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
Joan Serrà · Santiago Pascual · Carlos Segura Perales
Poster
Dates n/a. @ None
Hyperparameter Learning via Distributional Transfer
Ho Chung Law · Peilin Zhao · Lucian Chan · Junzhou Huang · Dino Sejdinovic
Poster
Dates n/a. @ None
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia · Tongliang Liu · Nannan Wang · Bo Han · Chen Gong · Gang Niu · Masashi Sugiyama
Poster
Dates n/a. @ None
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette
Poster
Dates n/a. @ None
Interior-point Methods Strike Back: Solving the Wasserstein Barycenter Problem
DongDong Ge · Haoyue Wang · Zikai Xiong · Yinyu Ye
Poster
Dates n/a. @ None
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Denis Mazur · Vage Egiazarian · Stanislav Morozov · Artem Babenko
Poster
Dates n/a. @ None
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
Poster
Dates n/a. @ None
Robust Principle Component Analysis with Adaptive Neighbors
Rui Zhang · Hanghang Tong
Poster
Dates n/a. @ None
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine · Tero Karras · Jaakko Lehtinen · Timo Aila
Poster
Dates n/a. @ None
Online Prediction of Switching Graph Labelings with Cluster Specialists
Mark Herbster · James Robinson
Poster
Dates n/a. @ None
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch · Joost van Amersfoort · Yarin Gal
Poster
Dates n/a. @ None
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
Cornelius Schröder · Ben James · Leon Lagnado · Philipp Berens
Poster
Dates n/a. @ None
Strategizing against No-regret Learners
Yuan Deng · Jon Schneider · Balasubramanian Sivan
Poster
Dates n/a. @ None
Efficient and Thrifty Voting by Any Means Necessary
Debmalya Mandal · Ariel Procaccia · Nisarg Shah · David Woodruff
Poster
Dates n/a. @ None
Tensor Monte Carlo: Particle Methods for the GPU era
Laurence Aitchison
Poster
Dates n/a. @ None
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
Akihiro Kishimoto · Beat Buesser · Bei Chen · Adi Botea
Poster
Dates n/a. @ None
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
Erwan Lecarpentier · Emmanuel Rachelson
Poster
Dates n/a. @ None
Toward a Characterization of Loss Functions for Distribution Learning
Nika Haghtalab · Cameron Musco · Bo Waggoner
Poster
Dates n/a. @ None
Coresets for Archetypal Analysis
Sebastian Mair · Ulf Brefeld
Poster
Dates n/a. @ None
Muti-source Domain Adaptation for Semantic Segmentation
Sicheng Zhao · Bo Li · Xiangyu Yue · Yang Gu · Pengfei Xu · Runbo Hu · Hua Chai · Kurt Keutzer
Poster
Dates n/a. @ None
Manifold-regression to predict from MEG/EEG brain signals without source modeling
David Sabbagh · Pierre Ablin · Gael Varoquaux · Alexandre Gramfort · Denis A. Engemann
Poster
Dates n/a. @ None
Normalization Helps Training of Quantized LSTM
Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu
Poster
Dates n/a. @ None
Deep Scale-spaces: Equivariance Over Scale
Daniel Worrall · Max Welling
Poster
Dates n/a. @ None
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
Edward De Brouwer · Jaak Simm · Adam Arany · Yves Moreau
Poster
Dates n/a. @ None
Learning-Based Low-Rank Approximations
Piotr Indyk · Ali Vakilian · Yang Yuan
Poster
Dates n/a. @ None
Learning elementary structures for 3D shape generation and matching
Theo Deprelle · Thibault Groueix · Matthew Fisher · Vladimir Kim · Bryan Russell · Mathieu Aubry
Poster
Dates n/a. @ None
Minimizers of the Empirical Risk and Risk Monotonicity
Marco Loog · Tom Viering · Alexander Mey
Poster
Dates n/a. @ None
Explicit Planning for Efficient Exploration in Reinforcement Learning
Liangpeng Zhang · Ke Tang · Xin Yao
Poster
Dates n/a. @ None
Chirality Nets for Human Pose Regression
Raymond Yeh · Yuan-Ting Hu · Alexander Schwing
Poster
Dates n/a. @ None
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
Ben Graham · David Novotny · Jeremy Reizenstein
Poster
Dates n/a. @ None
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas Gebauer · Michael Gastegger · Kristof Schütt
Poster
Dates n/a. @ None
Coresets for Clustering with Fairness Constraints
Lingxiao Huang · Shaofeng Jiang · Nisheeth Vishnoi
Poster
Dates n/a. @ None
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan · Tabish Rashid · Mikayel Samvelyan · Shimon Whiteson
Poster
Dates n/a. @ None
Competitive Gradient Descent
Florian Schaefer · Anima Anandkumar
Poster
Dates n/a. @ None
Continual Unsupervised Representation Learning
Dushyant Rao · Francesco Visin · Andrei Rusu · Razvan Pascanu · Yee Whye Teh · Raia Hadsell
Poster
Dates n/a. @ None
The Parameterized Complexity of Cascading Portfolio Scheduling
Eduard Eiben · Robert Ganian · Iyad Kanj · Stefan Szeider
Poster
Dates n/a. @ None
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
Rishidev Chaudhuri · Ila Fiete
Poster
Dates n/a. @ None
Probabilistic Logic Neural Networks for Reasoning
Meng Qu · Jian Tang
Poster
Dates n/a. @ None
Memory Efficient Adaptive Optimization
Rohan Anil · Vineet Gupta · Tomer Koren · Yoram Singer
Poster
Dates n/a. @ None
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod · Ilias Diakonikolas · Alistair Stewart · Anastasios Sidiropoulos · Gregory Valiant
Poster
Dates n/a. @ None
The Implicit Bias of AdaGrad on Separable Data
Qian Qian · Xiaoyuan Qian
Poster
Dates n/a. @ None
On two ways to use determinantal point processes for Monte Carlo integration
Guillaume Gautier · Rémi Bardenet · Michal Valko
Poster
Dates n/a. @ None
How degenerate is the parametrization of neural networks with the ReLU activation function?
Dennis Maximilian Elbrächter · Julius Berner · Philipp Grohs
Poster
Dates n/a. @ None
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang · Peng Li
Poster
Dates n/a. @ None
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim · Xiao Fu · Nikolaos Kargas · Kejun Huang
Poster
Dates n/a. @ None
Detecting Overfitting via Adversarial Examples
Roman Werpachowski · András György · Csaba Szepesvari
Poster
Dates n/a. @ None
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried · Sergio Pascual-Diaz · Jordi Grau-Moya
Poster
Dates n/a. @ None
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan · Xinming Yang · Naveen Narisetty · Feng Liang
Poster
Dates n/a. @ None
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
Elliot Meyerson · Risto Miikkulainen
Poster
Dates n/a. @ None
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang · Yanyao Shen · Sujay Sanghavi
Poster
Dates n/a. @ None
Post training 4-bit quantization of convolutional networks for rapid-deployment
Ron Banner · Yury Nahshan · Daniel Soudry
Poster
Dates n/a. @ None
Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore · Tianhao Zhu · Dean Foster
Poster
Dates n/a. @ None
Learning Local Search Heuristics for Boolean Satisfiability
Emre Yolcu · Barnabas Poczos
Poster
Dates n/a. @ None
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Benoit Steiner · Zachary DeVito · Soumith Chintala · Sam Gross · Adam Paszke · Francisco Massa · Adam Lerer · Gregory Chanan · Zeming Lin · Edward Yang · Alban Desmaison · Alykhan Tejani · Andreas Kopf · James Bradbury · Luca Antiga · Martin Raison · Natalia Gimelshein · Sasank Chilamkurthy · Trevor Killeen · Lu Fang · Junjie Bai
Poster
Dates n/a. @ None
Stability of Graph Scattering Transforms
Fernando Gama · Alejandro Ribeiro · Joan Bruna
Poster
Dates n/a. @ None
Rapid Convergence of the Unadjusted Langevin Algorithm: Log-Sobolev Suffices
Santosh Vempala · Andre Wibisono
Poster
Dates n/a. @ None
Learning Distributions Generated by One-Layer ReLU Networks
Shanshan Wu · Alexandros Dimakis · Sujay Sanghavi
Poster
Dates n/a. @ None
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng · Yuan Ke · Jingyi Zhang · Mengrui Zhang · Wenxuan Zhong · Ping Ma
Poster
Dates n/a. @ None
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder
Guy Lorberbom · Tommi Jaakkola · Andreea Gane · Tamir Hazan
Poster
Dates n/a. @ None
Neural Proximal Policy Optimization Attains Optimal Policy
Boyi Liu · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Dates n/a. @ None
Spherical Text Embedding
Yu Meng · Jiaxin Huang · Guangyuan Wang · Chao Zhang · Honglei Zhuang · Lance Kaplan · Jiawei Han
Poster
Dates n/a. @ None
Möbius Transformation for Fast Inner Product Search on Graph
Zhixin Zhou · Shulong Tan · Zhaozhuo Xu · Ping Li
Poster
Dates n/a. @ None
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations
Andrew Spielberg · Allan Zhao · Yuanming Hu · Tao Du · Wojciech Matusik · Daniela Rus
Poster
Dates n/a. @ None
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li · Dustin Pluta · Babak Shahbaba · Norbert Fortin · Hernando Ombao · Pierre Baldi
Poster
Dates n/a. @ None
Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu · Shunsuke Saito · Weikai Chen · Hao Li
Poster
Dates n/a. @ None
The spiked matrix model with generative priors
Benjamin Aubin · Bruno Loureiro · Antoine Maillard · Florent Krzakala · Lenka Zdeborová
Poster
Dates n/a. @ None
Gradient Dynamics of Shallow Low-Dimensional ReLU Networks
Francis Williams · Matthew Trager · Daniele Panozzo · Claudio Silva · Denis Zorin · Joan Bruna
Poster
Dates n/a. @ None
Robust and Communication-Efficient Collaborative Learning
Amirhossein Reisizadeh · Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
Poster
Dates n/a. @ None
Learning from Trajectories via Subgoal Discovery
Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury
Poster
Dates n/a. @ None
The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic
Arash Ardakani · Zhengyun Ji · Amir Ardakani · Warren Gross
Poster
Dates n/a. @ None
Characterizing the exact behaviors of temporal difference learning algorithms using Markov jump linear system theory
Bin Hu · Usman Syed
Poster
Dates n/a. @ None
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
Necdet Serhat Aybat · Alireza Fallah · Mert Gurbuzbalaban · Asuman Ozdaglar
Poster
Dates n/a. @ None
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli
Poster
Dates n/a. @ None
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee · Lechao Xiao · Samuel Schoenholz · Yasaman Bahri · Roman Novak · Jascha Sohl-Dickstein · Jeffrey Pennington
Poster
Dates n/a. @ None
Learning to Screen
Alon Cohen · Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Shay Moran
Poster
Dates n/a. @ None
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
Hao Yu
Poster
Dates n/a. @ None
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks
Gunjan Verma · Ananthram Swami
Poster
Dates n/a. @ None
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni
Poster
Dates n/a. @ None
Finite-Sample Analysis for SARSA with Linear Function Approximation
Shaofeng Zou · Tengyu Xu · Yingbin Liang
Poster
Dates n/a. @ None
Graph Structured Prediction Energy Networks
Colin Graber · Alexander Schwing
Poster
Dates n/a. @ None
Graph Agreement Models for Semi-Supervised Learning
Otilia Stretcu · Krishnamurthy Viswanathan · Dana Movshovitz-Attias · Emmanouil Platanios · Sujith Ravi · Andrew Tomkins
Poster
Dates n/a. @ None
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Jennifer Cardona · Michael Howland · John Dabiri
Poster
Dates n/a. @ None
The Functional Neural Process
Christos Louizos · Xiahan Shi · Klamer Schutte · Max Welling
Poster
Dates n/a. @ None
Recurrent Registration Neural Networks for Deformable Image Registration
Robin Sandkühler · Simon Andermatt · Grzegorz Bauman · Sylvia Nyilas · Christoph Jud · Philippe C. Cattin
Poster
Dates n/a. @ None
Unlocking Fairness: a Trade-off Revisited
Michael Wick · swetasudha panda · Jean-Baptiste Tristan
Poster
Dates n/a. @ None
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang · Justin M Solomon
Poster
Dates n/a. @ None
Approximating the Permanent by Sampling from Adaptive Partitions
Jonathan Kuck · Tri Dao · Hamid Rezatofighi · Ashish Sabharwal · Stefano Ermon
Poster
Dates n/a. @ None
3D Object Detection from a Single RGB Image via Perspective Points
Siyuan Huang · Yixin Chen · Tao Yuan · Siyuan Qi · Yixin Zhu · Song-Chun Zhu
Poster
Dates n/a. @ None
Adaptively Aligned Image Captioning via Adaptive Attention Time
Lun Huang · Wenmin Wang · Yaxian Xia · Jie Chen
Poster
Dates n/a. @ None
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull
Poster
Dates n/a. @ None
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
Kevin Smith · Lingjie Mei · Shunyu Yao · Jiajun Wu · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
Poster
Dates n/a. @ None
A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang · Lin Xiao
Poster
Dates n/a. @ None
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations
Yifeng Fan · Tingran Gao · Zhizhen Jane Zhao
Poster
Dates n/a. @ None
Defending Against Neural Fake News
Rowan Zellers · Ari Holtzman · Hannah Rashkin · Yonatan Bisk · Ali Farhadi · Franziska Roesner · Yejin Choi
Poster
Dates n/a. @ None
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S Cohen · Mario Geiger · Maurice Weiler
Poster
Dates n/a. @ None
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis · Maxwell Nye · Yewen Pu · Felix Sosa · Josh Tenenbaum · Armando Solar-Lezama
Poster
Dates n/a. @ None
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
Farnam Mansouri · Yuxin Chen · Ara Vartanian · Jerry Zhu · Adish Singla
Poster
Dates n/a. @ None
Sampling Networks and Aggregate Simulation for Online POMDP Planning
Hao Cui · Roni Khardon
Poster
Dates n/a. @ None
Linear Stochastic Bandits Under Safety Constraints
Sanae Amani · Mahnoosh Alizadeh · Christos Thrampoulidis
Poster
Dates n/a. @ None
Budgeted Reinforcement Learning in Continuous State Space
Nicolas Carrara · Edouard Leurent · Romain Laroche · Tanguy Urvoy · Odalric-Ambrym Maillard · Olivier Pietquin
Poster
Dates n/a. @ None
The Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah · Matteo Hessel · Zhongwen Xu · Janarthanan Rajendran · Richard L Lewis · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh
Poster
Dates n/a. @ None
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli · Joan Bruna
Poster
Dates n/a. @ None
Correlation clustering with local objectives
Sanchit Kalhan · Konstantin Makarychev · Timothy Zhou
Poster
Dates n/a. @ None
Multiclass Performance Metric Elicitation
Gaurush Hiranandani · Shant Boodaghians · Ruta Mehta · Oluwasanmi Koyejo
Poster
Dates n/a. @ None
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu · Jason Klusowski · Cynthia Rush · Weijie Su
Poster
Dates n/a. @ None
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Jinjin Tian · Aaditya Ramdas
Poster
Dates n/a. @ None
Understanding Posterior Collapse in Variational Autoencoders
James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi
Poster
Dates n/a. @ None
Efficient online learning with kernels for adversarial large scale problems
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
Poster
Dates n/a. @ None
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Andrei Barbu · David Mayo · Julian Alverio · William Luo · Christopher Wang · Dan Gutfreund · Josh Tenenbaum · Boris Katz
Poster
Dates n/a. @ None
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Michela Meister · Tamas Sarlos · David Woodruff
Poster
Dates n/a. @ None
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Rixon Crane · Fred Roosta
Poster
Dates n/a. @ None
Sobolev Independence Criterion
Youssef Mroueh · Tom Sercu · Mattia Rigotti · Inkit Padhi · Cicero Nogueira dos Santos
Poster
Dates n/a. @ None
Learning from brains how to regularize machines
Zhe Li · Wieland Brendel · Edgar Walker · Erick Cobos · Taliah Muhammad · Jacob Reimer · Matthias Bethge · Fabian Sinz · Zachary Pitkow · Andreas Tolias
Poster
Dates n/a. @ None
Using Statistics to Automate Stochastic Optimization
Hunter Lang · Lin Xiao · Pengchuan Zhang
Poster
Dates n/a. @ None
Differentiable Convex Optimization Layers
Akshay Agrawal · Brandon Amos · Shane Barratt · Stephen Boyd · Steven Diamond · J. Zico Kolter
Poster
Dates n/a. @ None
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason · Ardhendu Tripathy · Robert Nowak
Poster
Dates n/a. @ None
Lookahead Optimizer: k steps forward, 1 step back
Michael Zhang · James Lucas · Jimmy Ba · Geoffrey Hinton
Poster
Dates n/a. @ None
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen · Huan Ling · Jun Gao · Edward Smith · Jaakko Lehtinen · Alec Jacobson · Sanja Fidler
Poster
Dates n/a. @ None
A neurally plausible model for online recognition andpostdiction in a dynamical environment
Li Kevin Wenliang · Maneesh Sahani
Poster
Dates n/a. @ None
Marginalized Off-Policy Evaluation for Reinforcement Learning
Tengyang Xie · Yifei Ma · Yu-Xiang Wang
Poster
Dates n/a. @ None
A Bayesian Theory of Conformity in Collective Decision Making
Koosha Khalvati · Saghar Mirbagheri · Seongmin A. Park · Jean-Claude Dreher · Rajesh PN Rao
Poster
Dates n/a. @ None
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker · Dumitru Erhan · Pieter-Jan Kindermans · Been Kim
Poster
Dates n/a. @ None
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Xuanqing Liu · Si Si · Jerry Zhu · Yang Li · Cho-Jui Hsieh
Poster
Dates n/a. @ None
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Yunfei Teng · Wenbo Gao · François Chalus · Anna Choromanska · Donald Goldfarb · Adrian Weller
Poster
Dates n/a. @ None
Neural Jump Stochastic Differential Equations
Junteng Jia · Austin Benson
Poster
Dates n/a. @ None
ON THE VALUE OF TARGET SAMPLING IN COVARIATE-SHIFT
Steve Hanneke · Samory Kpotufe
Poster
Dates n/a. @ None
Meta Learning with Relational Information for Short Sequences
Yujia Xie · Haoming Jiang · Feng Liu · Tuo Zhao · Hongyuan Zha
Poster
Dates n/a. @ None
Learning to Learn By Self-Critique
Antreas Antoniou · Amos Storkey
Poster
Dates n/a. @ None
Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
Poster
Dates n/a. @ None
Transductive Zero-Shot Learning with Visual Structure Constraint
Ziyu Wan · Dongdong Chen · Yan Li · Xingguang Yan · Junge Zhang · Yizhou Yu · Jing Liao
Poster
Dates n/a. @ None
Model similarity mitigates test set overuse
Horia Mania · John Miller · Ludwig Schmidt · Moritz Hardt · Benjamin Recht
Poster
Dates n/a. @ None
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
Wenbo Ren · Jia (Kevin) Liu · Ness Shroff
Poster
Dates n/a. @ None
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Hengyuan Hu · Denis Yarats · Qucheng Gong · Yuandong Tian · Mike Lewis
Poster
Dates n/a. @ None
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Lin Chen · Hossein Esfandiari · Gang Fu · Vahab Mirrokni
Poster
Dates n/a. @ None
A Game Theoretic Approach to Class-wise Selective Rationalization
Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola
Poster
Dates n/a. @ None
Efficiently avoiding saddle points with zero order methods: No gradients required
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Dates n/a. @ None
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
Yujiao Shi · Liu Liu · Xin Yu · Hongdong Li
Poster
Dates n/a. @ None
Decentralized sketching of low rank matrices
Rakshith Sharma Srinivasa · Kiryung Lee · Marius Junge · Justin Romberg
Poster
Dates n/a. @ None
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
Zhao Song · David Woodruff · Peilin Zhong
Poster
Dates n/a. @ None
Unsupervised Meta Learning for Few-Show Image Classification
Siavash Khodadadeh · Ladislau Boloni · Mubarak Shah
Poster
Dates n/a. @ None
Certainty Equivalence is Efficient for Linear Quadratic Control
Horia Mania · Stephen Tu · Benjamin Recht
Poster
Dates n/a. @ None
Elliptical Perturbations for Differential Privacy
Matthew Reimherr · Jordan Awan
Poster
Dates n/a. @ None
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou · Shangqing Liu · Jingkai Siow · Xiaoning Du · Yang Liu
Poster
Dates n/a. @ None
KNG: The K-Norm Gradient Mechanism
Matthew Reimherr · Jordan Awan
Poster
Dates n/a. @ None
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li · Qianru Sun · Yaoyao Liu · Qin Zhou · Shibao Zheng · Tat-Seng Chua · Bernt Schiele
Poster
Dates n/a. @ None
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
Krzysztof M Choromanski · Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Vikas Sindhwani
Poster
Dates n/a. @ None
On the Expressive Power of Deep Polynomial Neural Networks
Joe Kileel · Matthew Trager · Joan Bruna
Poster
Dates n/a. @ None
Limits of Private Learning with Access to Public Data
Raef Bassily · Shay Moran · Noga Alon
Poster
Dates n/a. @ None
Discrete Object Generation with Reversible Inductive Construction
Ari Seff · Wenda Zhou · Farhan Damani · Abigail Doyle · Ryan Adams
Poster
Dates n/a. @ None
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
Aditya Gangrade · Praveen Venkatesh · Bobak Nazer · Venkatesh Saligrama
Poster
Dates n/a. @ None
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott · Stephan Zheng · Caiming Xiong · Richard Socher
Poster
Dates n/a. @ None
Bandits with Feedback Graphs and Switching Costs
Raman Arora · Teodor Vanislavov Marinov · Mehryar Mohri
Poster
Dates n/a. @ None
Statistical-Computational Tradeoff in Single Index Models
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Dates n/a. @ None
MarginGAN: Adversarial Training in Semi-Supervised Learning
Jinhao Dong · Tong Lin
Poster
Dates n/a. @ None
Same-Cluster Querying for Overlapping Clusters
Wasim Huleihel · Arya Mazumdar · Muriel Medard · Soumyabrata Pal
Poster
Dates n/a. @ None
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang · Songwei Ge · Zachary Lipton · Eric Xing
Poster
Dates n/a. @ None
G2SAT: Learning to Generate SAT Formulas
Jiaxuan You · Haoze Wu · Clark Barrett · Raghuram Ramanujan · Jure Leskovec
Poster
Dates n/a. @ None
Dimensionality reduction: theoretical perspective on practical measures
Yair Bartal · Nova Fandina · Ofer Neiman
Poster
Dates n/a. @ None
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
Yuan Cao · Quanquan Gu
Poster
Dates n/a. @ None
Deep Gamblers: Learning to Abstain with Portfolio Theory
Ziyin Liu · Zhikang Wang · Paul Pu Liang · Russ Salakhutdinov · Louis-Philippe Morency · Masahito Ueda
Poster
Dates n/a. @ None
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
Tengyu Xu · Shaofeng Zou · Yingbin Liang
Poster
Dates n/a. @ None
Transfer Learning via Boosting to Minimize the Performance Gap Between Domains
Boyu Wang · Jorge Mendez · Mingbo Cai · Eric Eaton
Poster
Dates n/a. @ None
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
Aditya Sharad Golatkar · Alessandro Achille · Stefano Soatto
Poster
Dates n/a. @ None
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali · Arman Hasanzadeh · Krishna Narayanan · Nick Duffield · Mingyuan Zhou · Xiaoning Qian
Poster
Dates n/a. @ None
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas Kulkarni · Ankush Gupta · Catalin Ionescu · Sebastian Borgeaud · Malcolm Reynolds · Andrew Zisserman · Volodymyr Mnih
Poster
Dates n/a. @ None
Consistency-based Semi-supervised Learning for Object detection
Jisoo Jeong · Seungeui Lee · Jeesoo Kim · Nojun Kwak
Poster
Dates n/a. @ None
Rates of Convergence for Large-scale Nearest Neighbor Classification
Xingye Qiao · Jiexin Duan · Guang Cheng
Poster
Dates n/a. @ None
Cross-Modal Learning with Adversarial Samples
CHAO LI · Shangqian Gao · Cheng Deng · De Xie · Wei Liu
Poster
Dates n/a. @ None
Cell-Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Aya Abdelsalam Ismail · Mohamed Gunady · Luiz Pessoa · Hector Corrada Bravo · Soheil Feizi
Poster
Dates n/a. @ None
Program Synthesis and Semantic Parsing with Learned Code Idioms
Richard Shin · Miltiadis Allamanis · Marc Brockschmidt · Alex Polozov
Poster
Dates n/a. @ None
Random Projections with Asymmetric Quantization
Xiaoyun Li · Ping Li
Poster
Dates n/a. @ None
Private Testing of Distributions via Sample Permutations
Maryam Aliakbarpour · Ilias Diakonikolas · Daniel Kane · Ronitt Rubinfeld
Poster
Dates n/a. @ None
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu · Leman Akoglu · Alessandro Rinaldo
Poster
Dates n/a. @ None
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng · Yinpeng Dong · Tianyu Pang · Hang Su · Jun Zhu
Poster
Dates n/a. @ None
Statistical Model Aggregation via Parameter Matching
Mikhail Yurochkin · Mayank Agarwal · Soumya Ghosh · Kristjan Greenewald · Nghia Hoang
Poster
Dates n/a. @ None
On the (in)fidelity and sensitivity of explanations
Chih-Kuan Yeh · Cheng-Yu Hsieh · Arun Suggala · David Inouye · Pradeep Ravikumar
Poster
Dates n/a. @ None
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai · Zhen Liu · Hanjun Dai · Niao He · Arthur Gretton · Le Song · Dale Schuurmans
Poster
Dates n/a. @ None
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Gintare Karolina Dziugaite · Mahdi Haghifam · Jeffrey Negrea · Ashish Khisti · Daniel Roy
Poster
Dates n/a. @ None
On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara · Pruthuvi Wijewardena
Poster
Dates n/a. @ None
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Ke Wang · Hang Hua · Xiaojun Wan
Poster
Dates n/a. @ None
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya · Ardhendu Tripathy · Robert Nowak
Poster
Dates n/a. @ None
Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby · Yu-Xiang Wang
Poster
Dates n/a. @ None
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe
Poster
Dates n/a. @ None
Unified Sample-Optimal Property Estimation in Near-Linear Time
Yi Hao · Alon Orlitsky
Poster
Dates n/a. @ None
Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao · Yang Wang · Zheng Yang · Deng Cai
Poster
Dates n/a. @ None
Greedy Sampling for Approximate Clustering in the Presence of Outliers
Aditya Bhaskara · Sharvaree Vadgama · Hong Xu
Poster
Dates n/a. @ None
On Tractable Computation of Expected Predictions
Pasha Khosravi · YooJung Choi · Yitao Liang · Antonio Vergari · Guy Van den Broeck
Poster
Dates n/a. @ None
Unlabeled Data Improves Adversarial Robustness
Yair Carmon · Aditi Raghunathan · Ludwig Schmidt · John Duchi · Percy Liang
Poster
Dates n/a. @ None
Machine Teaching of Active Sequential Learners
Tomi Peltola · Mustafa Mert Çelikok · Pedram Daee · Samuel Kaski
Poster
Dates n/a. @ None
Gaussian-Based Pooling for Convolutional Neural Networks
Takumi Kobayashi
Poster
Dates n/a. @ None
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
Yukai Liu · Rose Yu · Stephan Zheng · Eric Zhan · Yisong Yue
Poster
Dates n/a. @ None
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou · Ziniu Hu · Yewen Wang · Song Jiang · Yizhou Sun · Quanquan Gu
Poster
Dates n/a. @ None
Fast Agent Resetting in Training
Samuel Ainsworth · Matt Barnes · Siddhartha Srinivasa
Poster
Dates n/a. @ None
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Baoxiang Wang · Nidhi Hegde
Poster
Dates n/a. @ None
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
Arun Jambulapati · Aaron Sidford · Kevin Tian
Poster
Dates n/a. @ None
Faster Boosting with Smaller Memory
Julaiti Alafate · Yoav S Freund
Poster
Dates n/a. @ None
Learning Neural Networks with Adaptive Regularization
Han Zhao · Yao-Hung Tsai · Russ Salakhutdinov · Geoffrey Gordon
Poster
Dates n/a. @ None
Distributed estimation of the inverse Hessian by determinantal averaging
Michal Derezinski · Michael W Mahoney
Poster
Dates n/a. @ None
Provable Non-linear Inductive Matrix Completion
Kai Zhong · Zhao Song · Prateek Jain · Inderjit S Dhillon
Poster
Dates n/a. @ None
Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell · Boyan Beronov
Poster
Dates n/a. @ None
Landmark Ordinal Embedding
Nikhil Ghosh · Yuxin Chen · Yisong Yue
Poster
Dates n/a. @ None
The Thermodynamic Variational Objective
Vaden Masrani · Tuan Anh Le · Frank Wood
Poster
Dates n/a. @ None
Global Guarantees for Blind Demodulation with Generative Priors
Paul Hand · Babhru Joshi
Poster
Dates n/a. @ None
Subquadratic High-Dimensional Hierarchical Clustering
Amir Abboud · Vincent Cohen-Addad · Hussein Houdrouge
Poster
Dates n/a. @ None
Learning Auctions with Robust Incentive Guarantees
Jacob Abernethy · Rachel Cummings · Bhuvesh Kumar · Sam Taggart · Jamie Morgenstern
Poster
Dates n/a. @ None
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kaiqing Zhang · Zhuoran Yang · Tamer Basar
Poster
Dates n/a. @ None
Dimension-Free Bounds for Low-Precision Training
Zheng Li · Christopher De Sa
Poster
Dates n/a. @ None
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian · Long Zhao · Xi Peng · Dimitris Metaxas
Poster
Dates n/a. @ None
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li · I Chien · Olgica Milenkovic
Poster
Dates n/a. @ None
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Amanda Gentzel · Dan Garant · David Jensen
Poster
Dates n/a. @ None
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Lantao Yu · Tianhe Yu · Chelsea Finn · Stefano Ermon
Poster
Dates n/a. @ None
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Jose Blanchet · Peter W Glynn · Jun Yan · Zhengqing Zhou
Poster
Dates n/a. @ None
Attribution-Based Confidence Metric For Deep Neural Networks
Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami
Poster
Dates n/a. @ None
Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi · Eugene Belilovsky · Tinne Tuytelaars · Laurent Charlin · Massimo Caccia · Min Lin · Lucas Page-Caccia
Poster
Dates n/a. @ None
SPoC: Search-based Pseudocode to Code
Sumith Kulal · Panupong Pasupat · Kartik Chandra · Mina Lee · Oded Padon · Alex Aiken · Percy Liang
Poster
Dates n/a. @ None
Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund · Lior Kamma · Kasper Green Larsen · Alexander Mathiasen · Jelani Nelson
Poster
Dates n/a. @ None
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
Julian Zimmert · Tor Lattimore
Poster
Dates n/a. @ None
Graph Transformer Networks
Seongjun Yun · Minbyul Jeong · Raehyun Kim · Jaewoo Kang · Hyunwoo Kim
Poster
Dates n/a. @ None
Weighted Linear Bandits for Non-Stationary Environments
Yoan Russac · Claire Vernade · Olivier Cappé
Poster
Dates n/a. @ None
Pareto Multi-Task Learning
Xi Lin · Hui-Ling Zhen · Zhenhua Li · Qing-Fu Zhang · Sam Kwong
Poster
Dates n/a. @ None
Novel positional encodings to enable tree-based transformers
Vighnesh Shiv · Chris Quirk
Poster
Dates n/a. @ None
Submodular Function Minimization with Noisy Evaluation Oracle
Shinji Ito
Poster
Dates n/a. @ None
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Shuyue Hu · Chin-wing Leung · Ho-fung Leung
Poster
Dates n/a. @ None
Bootstrapping Upper Confidence Bound
Botao Hao · Yasin Abbasi Yadkori · Zheng Wen · Guang Cheng
Poster
Dates n/a. @ None
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom · Jorn Peters · Rianne van den Berg · Max Welling
Poster
Dates n/a. @ None
Structured Prediction with Projection Oracles
Mathieu Blondel
Poster
Dates n/a. @ None
Primal Dual Formulation For Deep Learning With Constraints
Yatin Nandwani · Abhishek Pathak · Mausam · Parag Singla
Poster
Dates n/a. @ None
PAC-Bayes Un-Expected Bernstein Inequality
Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj
Poster
Dates n/a. @ None
A Composable Specification Language for Reinforcement Learning Tasks
Kishor Jothimurugan · Rajeev Alur · Osbert Bastani
Poster
Dates n/a. @ None
Are Labels Required for Improving Adversarial Robustness?
Jean-Baptiste Alayrac · Jonathan Uesato · Po-Sen Huang · Alhussein Fawzi · Robert Stanforth · Pushmeet Kohli
Poster
Dates n/a. @ None
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Pooria Joulani · András György · Csaba Szepesvari
Poster
Dates n/a. @ None
Classification Accuracy Score for Conditional Generative Models
Suman Ravuri · Oriol Vinyals
Poster
Dates n/a. @ None
Tree-Sliced Variants of Wasserstein Distances
Tam Le · Makoto Yamada · Kenji Fukumizu · Marco Cuturi
Poster
Dates n/a. @ None
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Meelis Kull · Miquel Perello Nieto · Markus Kängsepp · Telmo Silva Filho · Hao Song · Peter Flach
Poster
Dates n/a. @ None
Robustness Verification of Tree-based Models
Hongge Chen · Huan Zhang · Si Si · Yang Li · Duane Boning · Cho-Jui Hsieh
Poster
Dates n/a. @ None
Fast and Accurate Stochastic Gradient Estimation
Beidi Chen · Yingchen Xu · Anshumali Shrivastava
Poster
Dates n/a. @ None
Universality in Learning from Linear Measurements
Ehsan Abbasi · Fariborz Salehi · Babak Hassibi
Poster
Dates n/a. @ None
Planning in Entropy-Regularized Markov Decision Processes and Games
Jean-Bastien Grill · Omar Darwiche Domingues · Pierre Menard · Remi Munos · Michal Valko
Poster
Dates n/a. @ None
A General Framework for Efficient Symmetric Property Estimation
Moses Charikar · Kirankumar Shiragur · Aaron Sidford
Poster
Dates n/a. @ None
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato · Melissa Tan · Ryan Faulkner · Steven Hansen · Adrià Puigdomènech Badia · Gavin Buttimore · Charles Deck · Joel Leibo · Charles Blundell
Poster
Dates n/a. @ None
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor
Meera Pai · Animesh Kumar
Poster
Dates n/a. @ None
Kernelized Bayesian Softmax for Text Generation
NING MIAO · Hao Zhou · Chengqi Zhao · Wenxian Shi · Yitan Li · Lei Li
Poster
Dates n/a. @ None
Correlation Clustering with Adaptive Similarity Queries
Marco Bressan · Nicolò Cesa-Bianchi · Andrea Paudice · Fabio Vitale
Poster
Dates n/a. @ None
Selecting causal brain features with a single conditional independence test per feature
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
Poster
Dates n/a. @ None
A Generic Acceleration Framework for Stochastic Composite Optimization
Andrei Kulunchakov · Julien Mairal
Poster
Dates n/a. @ None
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Arindam Banerjee · Qilong Gu · Vidyashankar Sivakumar · Steven Wu
Poster
Dates n/a. @ None
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto · Aurelien Lucchi
Poster
Dates n/a. @ None
MetaInit: Initializing learning by learning to initialize
Yann Dauphin · Samuel Schoenholz
Poster
Dates n/a. @ None
Scalable Deep Generative Relational Model with High-Order Node Dependence
Xuhui Fan · Bin Li · Caoyuan Li · Scott SIsson · Ling Chen
Poster
Dates n/a. @ None
Random Path Selection for Continual Learning
Jathushan Rajasegaran · Munawar Hayat · Salman H Khan · Fahad Shahbaz Khan · Ling Shao
Poster
Dates n/a. @ None
Graph Normalizing Flows
Jenny Liu · Aviral Kumar · Jimmy Ba · Jamie Kiros · Kevin Swersky
Poster
Dates n/a. @ None
Regret Bounds for Learning State Representations in Reinforcement Learning
Ronald Ortner · Matteo Pirotta · Alessandro Lazaric · Ronan Fruit · Odalric-Ambrym Maillard
Poster
Dates n/a. @ None
Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
Poster
Dates n/a. @ None
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
Poster
Dates n/a. @ None
Feedforward Bayesian Inference for Crowdsourced Classification
Edoardo Manino · Long Tran-Thanh · Nicholas Jennings
Poster
Dates n/a. @ None
k-Means Clustering of Lines for Big Data
Yair Marom · Dan Feldman
Poster
Dates n/a. @ None
Random projections and sampling algorithms for clustering of high-dimensional polygonal curves
Stefan Meintrup · Alexander Munteanu · Dennis Rohde
Poster
Dates n/a. @ None
Recurrent Space-time Graph Neural Networks
Andrei Nicolicioiu · Iulia Duta · Marius Leordeanu
Poster
Dates n/a. @ None
Triad Constraints for Learning Causal Structure of Latent Variables
Ruichu Cai · Feng Xie · Clark Glymour · Zhifeng Hao · Kun Zhang
Poster
Dates n/a. @ None
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Kenji Fukumizu · Shoichiro Yamaguchi · Yoh-ichi Mototake · Mirai Tanaka
Poster
Dates n/a. @ None
REM: From Structural Entropy to Community Structure Deception
Yiwei Liu · Jiamou Liu · Zijian Zhang · Liehuang Zhu · Angsheng Li
Poster
Dates n/a. @ None
Sim2real transfer learning for 3D pose estimation: motion to the rescue
Carl Doersch · Andrew Zisserman
Poster
Dates n/a. @ None
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Bjarne Sievers · Jonathan Sauder
Poster
Dates n/a. @ None
Piecewise Strong Convexity of Neural Networks
Tristan Milne
Poster
Dates n/a. @ None
Minimum Stein Discrepancy Estimators
Alessandro Barp · Francois-Xavier Briol · Andrew Duncan · Mark Girolami · Lester Mackey
Poster
Dates n/a. @ None
Provably robust boosted decision stumps and trees against adversarial attacks
Maksym Andriushchenko · Matthias Hein
Poster
Dates n/a. @ None
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong · Nan Yang · Wenhui Wang · Furu Wei · Xiaodong Liu · Yu Wang · Jianfeng Gao · Ming Zhou · Hsiao-Wuen Hon
Poster
Dates n/a. @ None
Learning to Correlate in Multi-Player General-Sum Sequential Games
Andrea Celli · Alberto Marchesi · Tommaso Bianchi · Nicola Gatti
Poster
Dates n/a. @ None
Metalearned Neural Memory
Tsendsuren Munkhdalai · Alessandro Sordoni · TONG WANG · Adam Trischler
Poster
Dates n/a. @ None
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot · Nicholas Carlini · Ian Goodfellow · Nicolas Papernot · Avital Oliver · Colin A Raffel
Poster
Dates n/a. @ None
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J Maddox · Pavel Izmailov · Timur Garipov · Dmitry Vetrov · Andrew Gordon Wilson
Poster
Dates n/a. @ None
Communication-efficient Distributed SGD with Sketching
Nikita Ivkin · Daniel Rothchild · Md Enayat Ullah · Vladimir braverman · Ion Stoica · Raman Arora
Poster
Dates n/a. @ None
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
David Farrow · Maria Jahja · Roni Rosenfeld · Ryan Tibshirani
Poster
Dates n/a. @ None
Near Neighbor: Who is the Fairest of Them All?
Sepideh Mahabadi · Sariel Har-Peled
Poster
Dates n/a. @ None
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator
Arnak Dalalyan · Philip Thompson
Poster
Dates n/a. @ None
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran · Viet-Hung Tran · Bao-Ngoc Nguyen · Linxiao Yang · Ngai-Man (Man) Cheung
Poster
Dates n/a. @ None
Simultaneous Matching and Ranking as end-to-end Deep Classification: A Case study of Information Retrieval with 50M Documents
Tharun Kumar Reddy Medini · Qixuan Huang · Yiqiu Wang · Vijai Mohan · Anshumali Shrivastava
Poster
Dates n/a. @ None
Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle · Gilles Barthe · Marco Gaboardi · Joseph Geumlek
Poster
Dates n/a. @ None
Diffusion Improves Graph Learning
Johannes Klicpera · Stefan Weißenberger · Stephan Günnemann
Poster
Dates n/a. @ None
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data
Gabriel Loaiza-Ganem · John Cunningham · Sean Perkins · Karen Schroeder · Mark Churchland
Poster
Dates n/a. @ None
Variational Bayes under Model Misspecification
Yixin Wang · David Blei
Poster
Dates n/a. @ None
Manifold denoising by Nonlinear Robust Principal Component Analysis
He Lyu · Ningyu Sha · Shuyang Qin · Ming Yan · Yuying Xie · Rongrong Wang
Poster
Dates n/a. @ None
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
Cagatay Yildiz · Markus Heinonen · Harri Lahdesmaki
Poster
Dates n/a. @ None
Optimal Sampling and Clustering in the Stochastic Block Model
Se-Young Yun · Alexandre Proutiere
Poster
Dates n/a. @ None
Recurrent Kernel Networks
Dexiong Chen · Laurent Jacob · Julien Mairal
Poster
Dates n/a. @ None
Hierarchical Optimal Transport for Multimodal Distribution Alignment
John Lee · Max Dabagia · Eva Dyer · Christopher Rozell
Poster
Dates n/a. @ None
Learning in Generalized Linear Contextual Bandits with Stochastic Delays
Zhengyuan Zhou · Renyuan Xu · Jose Blanchet
Poster
Dates n/a. @ None
Exploration via Hindsight Goal Generation
Zhizhou Ren · Kefan Dong · Yuan Zhou · Qiang Liu · Jian Peng
Poster
Dates n/a. @ None
Globally Optimal Learning for Structured Elliptical Losses
Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel
Poster
Dates n/a. @ None
Specific and Shared Causal Relation Modeling and Mechanism-based Clustering
Biwei Huang · Kun Zhang · Pengtao Xie · Mingming Gong · Eric Xing · Clark Glymour
Poster
Dates n/a. @ None
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina · Michael Gillhofer · Michael Widrich · Thomas Unterthiner · Johannes Brandstetter · Sepp Hochreiter
Poster
Dates n/a. @ None
Communication trade-offs for synchronized distributed SGD with large step size
Aymeric Dieuleveut · Kshitij Patel
Poster
Dates n/a. @ None
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Giancarlo Kerg · Kyle Goyette · Maximilian Puelma Touzel · Gauthier Gidel · Eugene Vorontsov · Yoshua Bengio · Guillaume Lajoie
Poster
Dates n/a. @ None
No-Regret Learning in Unknown Games with Correlated Payoffs
Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause
Poster
Dates n/a. @ None
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Janardhan Kulkarni · Olga Ohrimenko · Bolin Ding · Sergey Yekhanin · Joshua Allen · Harsha Nori
Poster
Dates n/a. @ None
Compacting, Picking and Growing for Unforgetting Continual Learning
Ching-Yi Hung · Cheng-Hao Tu · Cheng-En Wu · Chien-Hung Chen · Yi-Ming Chan · Chu-Song Chen
Poster
Dates n/a. @ None
Approximating Interactive Human Evaluation withSelf-Play for Open-Domain Dialog Systems
Asma Ghandeharioun · Judy Hanwen Shen · Natasha Jaques · Craig Ferguson · Noah Jones · Agata Garcia · Rosalind Picard
Poster
Dates n/a. @ None
Learning about an exponential amount of conditional distributions
Mohamed Belghazi · Maxime Oquab · David Lopez-Paz
Poster
Dates n/a. @ None
Towards Hardware-Aware Tractable Learning of Probabilistic Models
Laura I Galindez Olascoaga · Wannes Meert · Marian Verhelst · Guy Van den Broeck
Poster
Dates n/a. @ None
A Solvable High-Dimensional Model of GAN
Chuang Wang · Hong Hu · Yue Lu
Poster
Dates n/a. @ None
Adversarial Robustness through Local Linearization
Chongli Qin · James Martens · Sven Gowal · Dilip Krishnan · Krishnamurthy Dvijotham · Alhussein Fawzi · Soham De · Robert Stanforth · Pushmeet Kohli
Poster
Dates n/a. @ None
Sampled softmax with random Fourier features
Ankit Singh Rawat · Jiecao Chen · Felix Xinnan Yu · Ananda Theertha Suresh · Sanjiv Kumar
Poster
Dates n/a. @ None
Primal-Dual Block Frank-Wolfe
Qi Lei · JIACHENG ZHUO · Constantine Caramanis · Inderjit S Dhillon · Alexandros Dimakis
Poster
Dates n/a. @ None
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan · Gopinath Chennupati · Jeff Bilmes · Tanmoy Bhattacharya · Sarah Michalak
Poster
Dates n/a. @ None
Inverting Deep Generative models, One layer at a time
Qi Lei · Ajil Jalal · Inderjit S Dhillon · Alexandros Dimakis
Poster
Dates n/a. @ None
Fixing the train-test resolution discrepancy
Hugo Touvron · Andrea Vedaldi · Matthijs Douze · Herve Jegou
Poster
Dates n/a. @ None
Alleviating Label Switching with Optimal Transport
Pierre Monteiller · Sebastian Claici · Edward Chien · Farzaneh Mirzazadeh · Justin M Solomon · Mikhail Yurochkin
Poster
Dates n/a. @ None
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
Jasper Snoek · Yaniv Ovadia · Emily Fertig · Balaji Lakshminarayanan · Sebastian Nowozin · D. Sculley · Joshua Dillon · Jie Ren · Zachary Nado
Poster
Dates n/a. @ None
Accurate Layerwise Interpretable Competence Estimation
Vickram Rajendran · William LeVine
Poster
Dates n/a. @ None
A New Perspective on Pool-Based Active Classification and False-Discovery Control
Lalit Jain · Kevin Jamieson
Poster
Dates n/a. @ None
Defending Neural Backdoors via Generative Distribution Modeling
Ximing Qiao · Yukun Yang · Hai Li
Poster
Dates n/a. @ None
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Matt Jordan · Justin Lewis · Alexandros Dimakis
Poster
Dates n/a. @ None
Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi · Kianté Brantley · Hal Daume III · Miro Dudik · Robert Schapire
Poster
Dates n/a. @ None
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning
Dirk van der Hoeven
Poster
Dates n/a. @ None
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
Giulia Luise · Saverio Salzo · Massimiliano Pontil · Carlo Ciliberto
Poster
Dates n/a. @ None
Computing Linear Restrictions of Neural Networks
Matthew Sotoudeh · Aditya Thakur
Poster
Dates n/a. @ None
Correlation Priors for Reinforcement Learning
Bastian Alt · Adrian Šošić · Heinz Koeppl
Poster
Dates n/a. @ None
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
Mostafa Rahmani · Ping Li
Poster
Dates n/a. @ None
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste · Francesco Locatello · Jürgen Schmidhuber · Olivier Bachem
Poster
Dates n/a. @ None
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels · Sai Praneeth Karimireddy · Martin Jaggi
Poster
Dates n/a. @ None
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
Daniel Russo
Poster
Dates n/a. @ None
Sample Efficient Active Learning of Causal Trees
Kristjan Greenewald · Dmitriy Katz · Karthikeyan Shanmugam · Sara Magliacane · Murat Kocaoglu · Enric Boix Adsera · Guy Bresler
Poster
Dates n/a. @ None
Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma · Xuezhou Zhang · Wen Sun · Jerry Zhu
Poster
Dates n/a. @ None
General E(2)-Equivariant Steerable CNNs
Gabriele Cesa · Maurice Weiler
Poster
Dates n/a. @ None
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
Murat Kocaoglu · Karthikeyan Shanmugam · Amin Jaber · Elias Bareinboim
Poster
Dates n/a. @ None
Structure Learning with Side Information: Sample Complexity
Saurabh Sihag · Ali Tajer
Poster
Dates n/a. @ None
Sequential Neural Processes
Gautam Singh · Jaesik Yoon · Youngsung Son · Sungjin Ahn
Poster
Dates n/a. @ None
Hamiltonian descent for composite objectives
Brendan O'Donoghue · Chris J. Maddison
Poster
Dates n/a. @ None
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces
Benyamin Allahgholizadeh Haghi · Spencer Kellis · Sahil Shah · Maitreyi Ashok · Luke Bashford · Daniel Kramer · Brian Lee · Charles Liu · Richard Andersen · Azita Emami
Poster
Dates n/a. @ None
Pure Exploration with Multiple Correct Answers
Rémy Degenne · Wouter Koolen
Poster
Dates n/a. @ None
On the Benefits of Disentangled Representations
Francesco Locatello · Gabriele Abbati · Tom Rainforth · Stefan Bauer · Bernhard Schölkopf · Olivier Bachem
Poster
Dates n/a. @ None
Compiler Auto-Vectorization using Imitation Learning
Charith Mendis · Cambridge Yang · Yewen Pu · Dr.Saman Amarasinghe · Michael Carbin
Poster
Dates n/a. @ None
Exact Gaussian Processes on a Million Data Points
Ke Wang · Geoff Pleiss · Jacob Gardner · Stephen Tyree · Kilian Weinberger · Andrew Gordon Wilson
Poster
Dates n/a. @ None
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran · Mike Dusenberry · Mark van der Wilk · Danijar Hafner
Poster
Dates n/a. @ None
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
Nirandika Wanigasekara · Christina Yu
Poster
Dates n/a. @ None
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
Debraj Basu · Deepesh Data · Can Karakus · Suhas Diggavi
Poster
Dates n/a. @ None
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran · Keyon Vafa · Kumar Agrawal · Laurent Dinh · Ben Poole
Poster
Dates n/a. @ None
Sliced Gromov-Wasserstein
Vayer Titouan · Rémi Flamary · Nicolas Courty · Romain Tavenard · Laetitia Chapel
Poster
Dates n/a. @ None
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks
Spencer Frei · Yuan Cao · Quanquan Gu
Poster
Dates n/a. @ None
Value Function in Frequency Domain and Characteristic Value Iteration
Amir-massoud Farahmand
Poster
Dates n/a. @ None
Planning with Goal-Conditioned Policies
Soroush Nasiriany · Vitchyr Pong · Steven Lin · Sergey Levine
Poster
Dates n/a. @ None
Don't take it lightly: Phasing optical random projections with unknown operators
Sidharth Gupta · Remi Gribonval · Laurent Daudet · Ivan Dokmanic
Poster
Dates n/a. @ None
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado · Francesco Tudisco · Matthias Hein
Poster
Dates n/a. @ None
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar · Rithesh Kumar · Thibault de Boissiere · Lucas Gestin · Wei Zhen Teoh · Jose Sotelo · Alexandre de Brébisson · Yoshua Bengio · Aaron Courville
Poster
Dates n/a. @ None
Optimal Best Markovian Arm Identification with Fixed Confidence
Vrettos Moulos
Poster
Dates n/a. @ None
Policy Continuation with Hindsight Inverse Dynamics
Hao Sun · Zhizhong Li · Xiaotong Liu · Bolei Zhou · Dahua Lin
Poster
Dates n/a. @ None
Offline Contextual Bandits with High Probability Fairness Guarantees
Blossom Metevier · Stephen Giguere · Sarah Brockman · Ari Kobren · Yuriy Brun · Emma Brunskill · Philip Thomas
Poster
Dates n/a. @ None
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Yizhe Zhu · Jianwen Xie · Zhiqiang Tang · Xi Peng · Ahmed Elgammal
Poster
Dates n/a. @ None
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva · Leila Wehbe
Poster
Dates n/a. @ None
Compositional Plan Vectors
Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine
Poster
Dates n/a. @ None
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Ehsan Amid · Manfred K. Warmuth · Rohan Anil · Tomer Koren
Poster
Dates n/a. @ None
Hamiltonian Neural Networks
Samuel Greydanus · Misko Dzumba · Jason Yosinski
Poster
Dates n/a. @ None
On Human-Aligned Risk Minimization
Liu Leqi · Adarsh Prasad · Pradeep Ravikumar
Poster
Dates n/a. @ None
Multi-task Learning for Aggregated Data using Gaussian Processes
Fariba Yousefi · Michael Smith · Mauricio Álvarez
Poster
Dates n/a. @ None
Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov · Gleb Gusev
Poster
Dates n/a. @ None
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions
Peng Chen · Keyi Wu · Joshua Chen · Tom O'Leary-Roseberry · Omar Ghattas
Poster
Dates n/a. @ None
Invariance and identifiability issues for word embeddings
Rachel Carrington · Karthik Bharath · Simon Preston
Poster
Dates n/a. @ None
Efficient Rematerialization for Deep Networks
Ravi Kumar · Manish Purohit · Zoya Svitkina · Erik Vee · Joshua Wang
Poster
Dates n/a. @ None
Constraint Augmented Reinforcement Learning for Text-based Recommendation and Generation
Ruiyi Zhang · Tong Yu · Yilin Shen · Hongxia Jin · Changyou Chen
Poster
Dates n/a. @ None
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky · Francesco Orabona
Poster
Dates n/a. @ None
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
Xueru Zhang · Mohammadmahdi Khaliligarekani · Cem Tekin · mingyan liu
Poster
Dates n/a. @ None
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging
Matthieu SIMEONI · Sepand Kashani · Paul Hurley · Martin Vetterli
Poster
Dates n/a. @ None
Goal-conditioned Imitation Learning
Yiming Ding · Carlos Florensa · Pieter Abbeel · Mariano Phielipp
Poster
Dates n/a. @ None
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy · Albert-Laszlo Barabasi · Rose Yu
Poster
Dates n/a. @ None
Explicitly disentangling image content from translation and rotation with spatial-VAE
Tristan Bepler · Ellen Zhong · Kotaro Kelley · Edward Brignole · Bonnie Berger
Poster
Dates n/a. @ None
A Kernel Loss for Solving the Bellman Equation
Yihao Feng · Lihong Li · Qiang Liu
Poster
Dates n/a. @ None
Riemannian batch normalization for SPD neural networks
Daniel Brooks · Olivier Schwander · Frederic Barbaresco · Jean-Yves Schneider · Matthieu Cord
Poster
Dates n/a. @ None
Stacked Capsule Autoencoders
Adam Kosiorek · Sara Sabour · Yee Whye Teh · Geoffrey E Hinton
Poster
Dates n/a. @ None
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse · Didier Chetelat · Nicola Ferroni · Laurent Charlin · Andrea Lodi
Poster
Dates n/a. @ None
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet
Poster
Dates n/a. @ None
Inherent Tradeoffs in Learning Fair Representation
Han Zhao · Geoff Gordon
Poster
Dates n/a. @ None
Are deep ResNets provably better than linear predictors?
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
Poster
Dates n/a. @ None
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Niru Maheswaranathan · Alex H Williams · Matthew Golub · Surya Ganguli · David Sussillo
Poster
Dates n/a. @ None
Gradient-based Adaptive Markov Chain Monte Carlo
Michalis Titsias · Petros Dellaportas
Poster
Dates n/a. @ None
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu · Bowen Tan · Russ Salakhutdinov · Tom Mitchell · Eric Xing
Poster
Dates n/a. @ None
Exploring Algorithmic Fairness in Robust Graph Covering Problems
Aida Rahmattalabi · Phebe Vayanos · Anthony Fulginiti · Eric Rice · Bryan Wilder · Amulya Yadav · Milind Tambe
Poster
Dates n/a. @ None
The Geometry of Deep Networks: Power Diagram Subdivision
Randall Balestriero · Romain Cosentino · Behnaam Aazhang · Richard Baraniuk
Poster
Dates n/a. @ None
Generalization in multitask deep neural classifiers: a statistical physics approach
Anthony Ndirango · Tyler Lee
Poster
Dates n/a. @ None
On Relating Explanations and Adversarial Examples
Alexey Ignatiev · Nina Narodytska · Joao Marques-Silva
Poster
Dates n/a. @ None
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
Hosein Hasani · Mahdieh Soleymani · Hamid Aghajan
Poster
Dates n/a. @ None
Self-attention with Functional Time Representation Learning
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
Poster
Dates n/a. @ None
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio · Shao-Hua Sun · Hexiang Hu · Joseph Lim
Poster
Dates n/a. @ None
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry
Poster
Dates n/a. @ None
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan
Poster
Dates n/a. @ None
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi · Alain Durmus · Umut Simsekli · Roland Badeau
Poster
Dates n/a. @ None
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Justin Domke · Daniel Sheldon
Poster
Dates n/a. @ None
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
Nikolas Ioannou · Celestine Mendler-Dünner · Thomas Parnell
Poster
Dates n/a. @ None
Deep Equilibrium Models
Shaojie Bai · J. Zico Kolter · Vladlen Koltun
Poster
Dates n/a. @ None
Explanations can be manipulated and geometry is to blame
Ann-Kathrin Dombrowski · Maximillian Alber · Christopher Anders · Marcel Ackermann · Klaus-Robert Müller · Pan Kessel
Poster
Dates n/a. @ None
Joint Optimizing of Cycle-Consistent Networks
Leonidas J Guibas · Qixing Huang · Zhenxiao Liang
Poster
Dates n/a. @ None
Finding Friend and Foe in Multi-Agent Games
Jack S Serrino · Max Kleiman-Weiner · David Parkes · Josh Tenenbaum
Poster
Dates n/a. @ None
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
Thang Vu · Hyunjun Jang · Trung X. Pham · Chang Yoo
Poster
Dates n/a. @ None
Efficient Meta Learning via Minibatch Proximal Update
Pan Zhou · Xiaotong Yuan · Huan Xu · Shuicheng Yan · Jiashi Feng
Poster
Dates n/a. @ None
Better Exploration with Optimistic Actor Critic
Kamil Ciosek · Quan Vuong · Robert Loftin · Katja Hofmann
Poster
Dates n/a. @ None
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
Tao Yu · Christopher De Sa
Poster
Dates n/a. @ None
Conditional Independence Testing using Generative Adversarial Networks
Alexis Bellot · Mihaela van der Schaar
Poster
Dates n/a. @ None
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros
Poster
Dates n/a. @ None
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Ofir Nachum · Yinlam Chow · Bo Dai · Lihong Li
Poster
Dates n/a. @ None
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
Chaoyou Fu · Xiang Wu · Yibo Hu · Huaibo Huang · Ran He
Poster
Dates n/a. @ None
Learning Hierarchical Priors in VAEs
Alexej Klushyn · Nutan Chen · Richard Kurle · Botond Cseke · Patrick van der Smagt
Poster
Dates n/a. @ None
KerGM: Kernelized Graph Matching
Zhen Zhang · Yijian Xiang · Lingfei Wu · Bing Xue · Arye Nehorai
Poster
Dates n/a. @ None
SGD on Neural Networks Learns Functions of Increasing Complexity
Dimitris Kalimeris · Gal Kaplun · Preetum Nakkiran · Benjamin Edelman · Tristan Yang · Boaz Barak · Haofeng Zhang
Poster
Dates n/a. @ None
Capacity Bounded Differential Privacy
Kamalika Chaudhuri · Jacob Imola · Ashwin Machanavajjhala
Poster
Dates n/a. @ None
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
David Durfee · Ryan Rogers
Poster
Dates n/a. @ None
Implicit Generation and Modeling with Energy Based Models
Yilun Du · Igor Mordatch
Poster
Dates n/a. @ None
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
Yujia Jin · Aaron Sidford
Poster
Dates n/a. @ None
Compression with Flows via Local Bits-Back Coding
Jonathan Ho · Evan Lohn · Pieter Abbeel
Poster
Dates n/a. @ None
Differentially Private Markov Chain Monte Carlo
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela
Poster
Dates n/a. @ None
DetNAS: Backbone Search for Object Detection
Yukang Chen · Tong Yang · Xiangyu Zhang · GAOFENG MENG · Xinyu Xiao · Jian Sun
Poster
Dates n/a. @ None
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song · Chenlin Meng · Stefano Ermon
Poster
Dates n/a. @ None
When does label smoothing help?
Rafael Müller · Simon Kornblith · Geoffrey E Hinton
Poster
Dates n/a. @ None
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Gabriele Farina · Chun Kai Ling · Fei Fang · Tuomas Sandholm
Poster
Dates n/a. @ None
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
Saeed Mahloujifar · Xiao Zhang · Mohammad Mahmoody · David Evans
Poster
Dates n/a. @ None
On Testing for Biases in Peer Review
Ivan Stelmakh · Nihar Shah · Aarti Singh
Poster
Dates n/a. @ None
Reducing the variance in online optimization by transporting past gradients
Sébastien Arnold · Pierre-Antoine Manzagol · Reza Harikandeh · Ioannis Mitliagkas · Nicolas Le Roux
Poster
Dates n/a. @ None
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova · Gauthier Gidel · François Fleuret · Simon Lacoste-Julien
Poster
Dates n/a. @ None
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
Karim Ahmed · Lorenzo Torresani
Poster
Dates n/a. @ None
Scalable Global Optimization via Local Bayesian Optimization
David Eriksson · Matthias Poloczek · Jacob Gardner · Ryan Turner · Michael Pearce
Poster
Dates n/a. @ None
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramer · Dan Boneh
Poster
Dates n/a. @ None
DM2C: Deep Mixed-Modal Clustering
Yangbangyan Jiang · Qianqian Xu · Zhiyong Yang · Xiaochun Cao · Qingming Huang
Poster
Dates n/a. @ None
Learning by Abstraction: The Neural State Machine for Visual Reasoning
Drew Hudson · Christopher Manning
Poster
Dates n/a. @ None
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-Lopez · Bastian Rieck · Karsten Borgwardt
Poster
Dates n/a. @ None
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang · Jianan Wang · Ronald Clark · Qingyong Hu · Sen Wang · Andrew Markham · Niki Trigoni
Poster
Dates n/a. @ None
Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator
Marco Cuturi · Olivier Teboul · Jean-Philippe Vert
Poster
Dates n/a. @ None
Likelihood-Free Overcomplete ICA and ApplicationsIn Causal Discovery
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
Poster
Dates n/a. @ None
Cross-lingual Language Model Pretraining
Alexis CONNEAU · Guillaume Lample
Poster
Dates n/a. @ None
The bias of the sample mean in multi-armed bandits can be positive or negative
Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo
Poster
Dates n/a. @ None
VIREL: A Variational Inference Framework for Reinforcement Learning
Matthew Fellows · Anuj Mahajan · Tim G. J. Rudner · Shimon Whiteson
Poster
Dates n/a. @ None
Optimal Sparse Decision Trees
Xiyang Hu · Cynthia Rudin · Margo Seltzer
Poster
Dates n/a. @ None
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
Poster
Dates n/a. @ None
List-decodable Linear Regression
Sushrut Karmalkar · Adam Klivans · Pravesh Kothari
Poster
Dates n/a. @ None
On the Hardness of Robust Classification
Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell
Poster
Dates n/a. @ None
An adaptive nearest neighbor rule for classification
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran
Poster
Dates n/a. @ None
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alexandros Dimakis
Poster
Dates n/a. @ None
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion · Nicolas Usunier · Gabriel Synnaeve · Alessandro Lazaric
Poster
Dates n/a. @ None
N-Gram Graph: A Simple Unsupervised Representation for Molecules
Shengchao Liu · Mehmet F Demirel · Yingyu Liang
Poster
Dates n/a. @ None
Adaptive Gradient-Based Meta-Learning Methods
Mikhail Khodak · Maria-Florina Balcan · Ameet Talwalkar
Poster
Dates n/a. @ None
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu · Raymond Mooney
Poster
Dates n/a. @ None
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen · Elad Hazan · Shay Moran
Poster
Dates n/a. @ None
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen · Runliang Li · Daniel Tao · Alina Barnett · Cynthia Rudin
Poster
Dates n/a. @ None
Limitations of Lazy Training of Two-layers Neural Network
Song Mei · Theodor Misiakiewicz · Behrooz Ghorbani · Andrea Montanari
Poster
Dates n/a. @ None
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Paul Micaelli · Amos Storkey
Poster
Dates n/a. @ None
Guided Meta-Policy Search
Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn
Poster
Dates n/a. @ None
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
Colin Wei · Tengyu Ma
Poster
Dates n/a. @ None
Residual Flows for Invertible Generative Modeling
Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen
Poster
Dates n/a. @ None
A unified theory for the origin of grid cells through the lens of pattern formation
Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko
Poster
Dates n/a. @ None
Poincar\'{e} Recurrence, Cycles and Spurious Equilibria in Gradient Descent for Non-Convex Non-Concave Zero-Sum Games
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Dates n/a. @ None
Multilabel reductions: what is my loss optimising?
Aditya Menon · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar
Poster
Dates n/a. @ None
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao · Quanquan Gu
Poster
Dates n/a. @ None
The Broad Optimality of Profile Maximum Likelihood
Yi Hao · Alon Orlitsky
Poster
Dates n/a. @ None
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily · Vitaly Feldman · Kunal Talwar · Abhradeep Guha Thakurta
Poster
Dates n/a. @ None
Discriminator optimal transport
Akinori Tanaka
Poster
Dates n/a. @ None
Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber · Jiji Zhang · Elias Bareinboim
Poster
Dates n/a. @ None
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab · Alexander Robey · Hamed Hassani · Manfred Morari · George Pappas
Poster
Dates n/a. @ None
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
Yuanzhi Li · Colin Wei · Tengyu Ma
Poster
Dates n/a. @ None
On the Downstream Performance of Compressed Word Embeddings
Avner May · Jian Zhang · Tri Dao · Christopher Ré
Poster
Dates n/a. @ None
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
Juncheng Li · Shuhui Qu · Xinjian Li · Joseph Szurley · J. Zico Kolter · Florian Metze
Poster
Dates n/a. @ None
Theoretical Analysis Of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao
Poster
Dates n/a. @ None
Hindsight Credit Assignment
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos
Poster
Dates n/a. @ None
Generalization Bounds for Neural Networks via Approximate Description Length
Amit Daniely · Elad Granot
Poster
Dates n/a. @ None
Combining Generative and Discriminative Models for Hybrid Inference
Victor Garcia Satorras · Max Welling · Zeynep Akata
Poster
Dates n/a. @ None
Learning Positive Functions with Pseudo Mirror Descent
Yingxiang Yang · Haoxiang Wang · Negar Kiyavash · Niao He
Poster
Dates n/a. @ None
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson · Truong Son Hy · Risi Kondor
Poster
Dates n/a. @ None
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas
Poster
Dates n/a. @ None
Model Selection for Contextual Bandits
Dylan Foster · Akshay Krishnamurthy · Haipeng Luo
Poster
Dates n/a. @ None
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
Ganlin Song · Zhou Fan · John Lafferty
Poster
Dates n/a. @ None
Efficiently Learning Fourier Sparse Set Functions
Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause
Poster
Dates n/a. @ None
Multi-Criteria Dimensionality Reduction with Applications to Fairness
Uthaipon Tantipongpipat · Samira Samadi · Mohit Singh · Jamie Morgenstern · Santosh Vempala
Poster
Dates n/a. @ None
Heterogeneous Treatment Effects with Instruments
Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis
Poster
Dates n/a. @ None
Learning Reward Machines for Partially Observable Reinforcement Learning
Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Sheila McIlraith
Poster
Dates n/a. @ None
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
Poster
Dates n/a. @ None
Fast structure learning with modular regularization
Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Poster
Dates n/a. @ None
Efficient 3D Deep Learning via Point-Based Representation and Voxel-Based Convolution
Zhijian Liu · Haotian Tang · Yujun Lin · Song Han
Poster
Dates n/a. @ None
Volumetric Correspondence Networks for Optical Flow
Gengshan Yang · Deva Ramanan
Poster
Dates n/a. @ None
How many variables should be entered in a principal component regression equation?
Ji Xu · Daniel Hsu
Poster
Dates n/a. @ None
Multi-View Reinforcement Learning
Minne Li · Lisheng Wu · Jun WANG
Poster
Dates n/a. @ None
Neural Networks with Cheap Differential Operators
Tian Qi Chen · David Duvenaud
Poster
Dates n/a. @ None
Differentially Private Distributed Data Summarization under Covariate Shift
Kanthi Sarpatwar · Karthikeyan Shanmugam · Venkata Sitaramagiridharganesh Ganapavarapu · Ashish Jagmohan · Roman Vaculin
Poster
Dates n/a. @ None
Thompson Sampling and Approximate Inference
My Phan · Yasin Abbasi Yadkori · Justin Domke
Poster
Dates n/a. @ None
Fast PAC-Bayes via Shifted Rademacher Complexity
Jun Yang · Shengyang Sun · Daniel Roy
Poster
Dates n/a. @ None
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding · guiguang ding · Xiangxin Zhou · Yuchen Guo · Jungong Han · Ji Liu
Poster
Dates n/a. @ None
Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman · Hunter Lang · Pengchuan Zhang · Lin Xiao
Poster
Dates n/a. @ None
Fine-grained Optimization of Deep Neural Networks
Mete Ozay
Poster
Dates n/a. @ None
Safe Exploration for Interactive Machine Learning
Matteo Turchetta · Felix Berkenkamp · Andreas Krause
Poster
Dates n/a. @ None
A First-Order Approach to Accelerated Value Iteration
Julien Grand Clement · Vineet Goyal
Poster
Dates n/a. @ None
Neural Machine Translation with Soft Prototype
Yiren Wang · Yingce Xia · Fei Tian · Fei Gao · Tao Qin · Cheng Xiang Zhai · Tie-Yan Liu
Poster
Dates n/a. @ None
Online Learning via the Differential Privacy Lens
Jacob Abernethy · Young Hun Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari
Poster
Dates n/a. @ None
Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai · Zihang Dai · Yiming Yang · Shinjae Yoo
Poster
Dates n/a. @ None
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Junzhe Zhang · Elias Bareinboim