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Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Regulating algorithmic filtering on social media
Sarah Cen · Devavrat Shah
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Deflation Process in Over-parametrized Tensor Decomposition
Rong Ge · Yunwei Ren · Xiang Wang · Mo Zhou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Information-constrained optimization: can adaptive processing of gradients help?
Jayadev Acharya · Clement Canonne · Prathamesh Mayekar · Himanshu Tyagi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust and differentially private mean estimation
Xiyang Liu · Weihao Kong · Sham Kakade · Sewoong Oh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Visual Reasoning via Language Guided Neural Module Networks
Arjun Akula · Varun Jampani · Soravit Changpinyo · Song-Chun Zhu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
Jayadev Acharya · Clement Canonne · Yuhan Liu · Ziteng Sun · Himanshu Tyagi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revealing and Protecting Labels in Distributed Training
Trung Dang · Om Thakkar · Swaroop Ramaswamy · Rajiv Mathews · Peter Chin · Françoise Beaufays
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
Shoulong Zhang · shuai li · Aimin Hao · Hong Qin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Benjamin Attal · Eliot Laidlaw · Aaron Gokaslan · Changil Kim · Christian Richardt · James Tompkin · Matthew O'Toole
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Optimal Underdamped Langevin MCMC Method
Zhengmian Hu · Feihu Huang · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Inference with Neural Interpreters
Nasim Rahaman · Muhammad Waleed Gondal · Shruti Joshi · Peter Gehler · Yoshua Bengio · Francesco Locatello · Bernhard Schölkopf
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
Huaxiu Yao · Ying Wei · Long-Kai Huang · Ding Xue · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli · James Thornton · Jeremy Heng · Arnaud Doucet
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Tengwei Song · Jie Luo · Lei Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Techniques for Symbol Grounding with SATNet
Sever Topan · David Rolnick · Xujie Si
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
ZHENHUAN YANG · Yunwen Lei · Puyu Wang · Tianbao Yang · Yiming Ying
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan · Jiashu Xu · Boyuan Long · Soumya Sanyal · Tanishq Gupta · Xiang Ren
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Select Exogenous Events for Marked Temporal Point Process
Ping Zhang · Rishabh Iyer · Ashish Tendulkar · Gaurav Aggarwal · Abir De
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgame solving without common knowledge
Brian Zhang · Tuomas Sandholm
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song · Ruitu Xu · John Lafferty
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
Joshua Cutler · Dmitriy Drusvyatskiy · Zaid Harchaoui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Shahrzad Haddadan · Yue Zhuang · Cyrus Cousins · Eli Upfal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations
Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Constrained Robust Submodular Partitioning
Shengjie Wang · Tianyi Zhou · Chandrashekhar Lavania · Jeff A Bilmes
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Sample Selection for Fair and Robust Training
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir Ivanov · Konstantinos Michmizos
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to delegate for large-scale vehicle routing
Sirui Li · Zhongxia Yan · Cathy Wu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas Oikarinen · Wang Zhang · Alexandre Megretski · Luca Daniel · Tsui-Wei Weng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
Shuai Zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Learning One Hidden Layer ReLU Networks From Queries
Sitan Chen · Adam Klivans · Raghu Meka
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Linear Bandits with Local Differential Privacy
Yuxuan Han · Zhipeng Liang · Yang Wang · Jiheng Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab · Yang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Woochul Kang · Daeyeon Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revisiting Smoothed Online Learning
Lijun Zhang · Wei Jiang · Shiyin Lu · Tianbao Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness via Representation Neutralization
Mengnan Du · Subhabrata Mukherjee · Guanchu Wang · Ruixiang Tang · Ahmed Awadallah · Xia Hu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
Kohei Miyaguchi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Probabilistic Transformer For Time Series Analysis
Binh Tang · David S Matteson
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu · Yang Zhang · Shiyu Chang · Tommi Jaakkola
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Universal Graph Convolutional Networks
Di Jin · Zhizhi Yu · Cuiying Huo · Rui Wang · Xiao Wang · Dongxiao He · Jiawei Han
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Hung Le · Thommen Karimpanal George · Majid Abdolshah · Truyen Tran · Svetha Venkatesh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers
Albert Gu · Isys Johnson · Karan Goel · Khaled Saab · Tri Dao · Atri Rudra · Christopher Ré
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang · Guoliang Kang · Yi Yang · Yunchao Wei
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Contrastive Learning Approach for Training Variational Autoencoder Priors
Jyoti Aneja · Alex Schwing · Jan Kautz · Arash Vahdat
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
Will Stephenson · Zachary Frangella · Madeleine Udell · Tamara Broderick
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Adaptive Diffusion in Graph Neural Networks
Jialin Zhao · Yuxiao Dong · Ming Ding · Evgeny Kharlamov · Jie Tang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi · Kamyar Azizzadenesheli · Michael O'Connell · Soon-Jo Chung · Yisong Yue
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Heuristic-Guided Reinforcement Learning
Ching-An Cheng · Andrey Kolobov · Adith Swaminathan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly · Abhishek Gupta · Carlos Florensa · Sergey Levine
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai · Zhitao Ying · Hongyu Ren · Jure Leskovec
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Systematic Generalization with Edge Transformers
Leon Bergen · Timothy O'Donnell · Dzmitry Bahdanau
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
Tanner Fiez · Lillian Ratliff · Eric Mazumdar · Evan Faulkner · Adhyyan Narang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Topographic VAEs learn Equivariant Capsules
T. Anderson Keller · Max Welling
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
Mihai Fieraru · Mihai Zanfir · Teodor Szente · Eduard Bazavan · Vlad Olaru · Cristian Sminchisescu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Extracting Deformation-Aware Local Features by Learning to Deform
Guilherme Potje · Renato Martins · Felipe Chamone · Erickson Nascimento
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
NABARUN DEB · Promit Ghosal · Bodhisattva Sen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Predictable Control
Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee · Ruoqi Shen · Kevin Tian
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong · Kamalika Chaudhuri
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou · Weizhong Zhang · Zonghao Chen · SHIZHE DIAO · Tong Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding · Kezhi Kong · Jingling Li · Chen Zhu · John Dickerson · Furong Huang · Tom Goldstein
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng · Marco Pavone · Sachin Katti · Sandeep Chinchali · Ao Tang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu · Sicun Gao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang · Shaofeng Zou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ReLU Regression with Massart Noise
Ilias Diakonikolas · Jong Ho Park · Christos Tzamos
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Model Personalization
Prateek Jain · John Rush · Adam Smith · Shuang Song · Abhradeep Guha Thakurta
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deconvolutional Networks on Graph Data
Jia Li · Jiajin Li · Yang Liu · Jianwei Yu · Yueting Li · Hong Cheng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Learning with Adaptive Clipping
Galen Andrew · Om Thakkar · Brendan McMahan · Swaroop Ramaswamy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Grounding Representation Similarity Through Statistical Testing
Frances Ding · Jean-Stanislas Denain · Jacob Steinhardt
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Representing Hyperbolic Space Accurately using Multi-Component Floats
Tao Yu · Christopher De Sa
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai · Weiran Wang · Carla Gomes
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-learning to Improve Pre-training
Aniruddh Raghu · Jonathan Lorraine · Simon Kornblith · Matthew McDermott · David Duvenaud
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Learning of Optimal Auctions
Wenshuo Guo · Michael Jordan · Emmanouil Zampetakis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan · Xudong XU · Chen Change Loy · Christian Theobalt · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng · Muhan Zhang · Yinglong Xia · Ajitesh Srivastava · Andrey Malevich · Rajgopal Kannan · Viktor Prasanna · Long Jin · Ren Chen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Generative Utility of Cyclic Conditionals
Chang Liu · Haoyue Tang · Tao Qin · Jintao Wang · Tie-Yan Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Assimilate in Chaotic Dynamical Systems
John McCabe · Jed Brown
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Statistical Assessment of Neural Network Corruption Robustness
Karim TIT · Teddy Furon · Mathias ROUSSET
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Unified View of cGANs with and without Classifiers
Si-An Chen · Chun-Liang Li · Hsuan-Tien Lin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Takashi Matsubara · Yuto Miyatake · Takaharu Yaguchi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Long Short-Term Transformer for Online Action Detection
Mingze Xu · Yuanjun Xiong · Hao Chen · Xinyu Li · Wei Xia · Zhuowen Tu · Stefano Soatto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang · Xiaoteng Ma · Li Chenghao · Zewu Zheng · Qiyuan Zhang · Gao Huang · Jun Yang · Qianchuan Zhao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Auditing Black-Box Prediction Models for Data Minimization Compliance
Bashir Rastegarpanah · Krishna Gummadi · Mark Crovella
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu · Krishna Pillutla · Sean Welleck · Sewoong Oh · Yejin Choi · Zaid Harchaoui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Shape Metrics on Neural Representations
Alex H Williams · Erin Kunz · Simon Kornblith · Scott Linderman
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Bhatia · Holly Jackson · Yunsheng Tian · Jie Xu · Wojciech Matusik
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
Deeksha Adil · Brian Bullins · Sushant Sachdeva
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li · Xuechen Zhang · Christos Thrampoulidis · Jiasi Chen · Samet Oymak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri · PRANAY SHARMA · Haibo Yang · Mingyi Hong · Jia Liu · Ketan Rajawat · Pramod Varshney
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
Fan Bao · Guoqiang Wu · Chongxuan LI · Jun Zhu · Bo Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta · Xiongye Xiao · Paul Bogdan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang · David Wipf · Quan Gan · Le Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Matrix encoding networks for neural combinatorial optimization
Yeong-Dae Kwon · Jinho Choo · Iljoo Yoon · Minah Park · Duwon Park · Youngjune Gwon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
Ruiqi Gao · Jianwen Xie · Xue-Xin Wei · Song-Chun Zhu · Ying Nian Wu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alexander Li · Deepak Pathak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Associative Memories via Predictive Coding
Tommaso Salvatori · Yuhang Song · Yujian Hong · Lei Sha · Simon Frieder · Zhenghua Xu · Rafal Bogacz · Thomas Lukasiewicz
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentially Private Federated Bayesian Optimization with Distributed Exploration
Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
Juntang Zhuang · Yifan Ding · Tommy Tang · Nicha Dvornek · Sekhar C Tatikonda · James Duncan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu · Kai Li · Weiyi Zhang · Yi Luo · Jean-Marie Lemercier · Timo Gerkmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgraph Federated Learning with Missing Neighbor Generation
Ke ZHANG · Carl Yang · Xiaoxiao Li · Lichao Sun · Siu Ming Yiu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili · Xueru Zhang · Mahed Abroshan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
Zaiwei Chen · Siva Theja Maguluri · Sanjay Shakkottai · Karthikeyan Shanmugam
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah · Devavrat Shah · Gregory Wornell
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen · Jianfeng Lu · Yulong Lu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
FEIHU ZHANG · Philip Torr · Rene Ranftl · Stephan Richter
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
Shashank Rajput · Kartik Sreenivasan · Dimitris Papailiopoulos · Amin Karbasi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack · Anna Hilgard · Sameer Singh · Himabindu Lakkaraju
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski · Jonathan Lacotte · Mert Pilanci · Michael Mahoney
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong · Michael-Andrei Panaitescu-Liess · Yigitcan Kaya · Tudor Dumitras
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Automated Dynamic Mechanism Design
Hanrui Zhang · Vincent Conitzer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee · Ali Tajer · Pin-Yu Chen · Payel Das
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Bounds all around: training energy-based models with bidirectional bounds
Cong Geng · Jia Wang · Zhiyong Gao · Jes Frellsen · Søren Hauberg
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai · Hanxiao Liu · Quoc V Le · Mingxing Tan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Adaptive wavelet distillation from neural networks through interpretations
Wooseok Ha · Chandan Singh · Francois Lanusse · Srigokul Upadhyayula · Bin Yu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The Benefits of Implicit Regularization from SGD in Least Squares Problems
Difan Zou · Jingfeng Wu · Vladimir Braverman · Quanquan Gu · Dean Foster · Sham Kakade
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky · Harsh Mehta
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen · Roman Novak · Lechao Xiao · Jaehoon Lee
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
Spencer Frei · Quanquan Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differential Privacy Over Riemannian Manifolds
Matthew Reimherr · Karthik Bharath · Carlos Soto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du · Katie Collins · Josh Tenenbaum · Vincent Sitzmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen · Yuting Wei · Yuejie Chi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Huangjie Zheng · Mingyuan Zhou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dimension-free empirical entropy estimation
Doron Cohen · Aryeh Kontorovich · Aaron Koolyk · Geoffrey Wolfer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Towards understanding retrosynthesis by energy-based models
Ruoxi Sun · Hanjun Dai · Li Li · Steven Kearnes · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Geometry Processing with Neural Fields
Guandao Yang · Serge Belongie · Bharath Hariharan · Vladlen Koltun
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj · Lingyang Chu · Zi Yu Xue · Jian Pei · Lanjun Wang · Peter Cho-Ho Lam · Yong Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
Yang Li · Si Si · Gang Li · Cho-Jui Hsieh · Samy Bengio
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang · Jingyang Lin · Jingjing Zou · Yingwei Pan · Ting Yao · Tao Mei
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous Latent Process Flows
Ruizhi Deng · Marcus Brubaker · Greg Mori · Andreas Lehrmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
Wei Sun · Aojun Zhou · Sander Stuijk · Rob Wijnhoven · Andrew Nelson · hongsheng Li · Henk Corporaal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess
Gregory Clark
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
Minshuo Chen · Yan Li · Ethan Wang · Zhuoran Yang · Zhaoran Wang · Tuo Zhao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Discovering and Achieving Goals via World Models
Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
Henry C Bendekgey · Erik Sudderth
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam · Chun-Fu (Richard) Chen · Rameswar Panda · Leonid Karlinsky · Rogerio Feris · Richard J. Radke
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Tianyi Chen · Yuejiao Sun · Wotao Yin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous-time edge modelling using non-parametric point processes
Xuhui Fan · Bin Li · Feng Zhou · Scott SIsson
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Sanae Amani · Christos Thrampoulidis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao · Karan Samel · Binghong Chen · lee song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Observation-Free Attacks on Stochastic Bandits
Yinglun Xu · Bhuvesh Kumar · Jacob Abernethy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim · Felix Hohne · Xiuyu Li · Sijia Linda Huang · Vaishnavi Gupta · Omkar Bhalerao · Ser Nam Lim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang · Zhongwang Zhang · Tao Luo · Zhiqin J Xu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Tiancheng Jin · Longbo Huang · Haipeng Luo
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Dynamic Trace Estimation
Prathamesh Dharangutte · Christopher Musco
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Time-series Generation by Contrastive Imitation
Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Optimal Predictive Checklists
Haoran Zhang · Quaid Morris · Berk Ustun · Marzyeh Ghassemi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
What training reveals about neural network complexity
Andreas Loukas · Marinos Poiitis · Stefanie Jegelka
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Perturbation Theory for the Information Bottleneck
Vudtiwat Ngampruetikorn · David Schwab
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning in Multi-Stage Decentralized Matching Markets
Xiaowu Dai · Michael Jordan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Anup Sarma · Sonali Singh · Huaipan Jiang · Rui Zhang · Mahmut Kandemir · Chita Das
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Heyuan Liu · Paul Grigas
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han · Chongyi Zheng · Harris Chan · Keiran Paster · Michael Zhang · Jimmy Ba
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto · Shixiang (Shane) Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Conflict-Averse Gradient Descent for Multi-task learning
Bo Liu · Xingchao Liu · Xiaojie Jin · Peter Stone · Qiang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Training Method for Stochastic Compositional Optimization Problems
Hongchang Gao · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Quoc Tran Dinh · Nhan H Pham · Dzung Phan · Lam Nguyen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Causal Abstractions of Neural Networks
Atticus Geiger · Hanson Lu · Thomas Icard · Christopher Potts
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
Xinyun Chen · Dawn Song · Yuandong Tian
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin · Guannan Qu · Longbo Huang · Adam Wierman
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stronger NAS with Weaker Predictors
Junru Wu · Xiyang Dai · Dongdong Chen · Yinpeng Chen · Mengchen Liu · Ye Yu · Zhangyang Wang · Zicheng Liu · Mei Chen · Lu Yuan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Conservative Offline Distributional Reinforcement Learning
Yecheng Ma · Dinesh Jayaraman · Osbert Bastani
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
Mufan Li · Mihai Nica · Dan Roy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
Lulu Zheng · Jiarui Chen · Jianhao Wang · Jiamin He · Yujing Hu · Yingfeng Chen · Changjie Fan · Yang Gao · Chongjie Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye · Michael Tessler · Josh Tenenbaum · Brenden Lake
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Realistic evaluation of transductive few-shot learning
Olivier Veilleux · Malik Boudiaf · Pablo Piantanida · Ismail Ben Ayed
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
HyperSPNs: Compact and Expressive Probabilistic Circuits
Andy Shih · Dorsa Sadigh · Stefano Ermon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Frederic Koehler · Lijia Zhou · [deadname] Sutherland · Nathan Srebro
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi · Yunyue Wei · Yanan Sui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Sampling over Episode Difficulty
Sébastien Arnold · Guneet Dhillon · Avinash Ravichandran · Stefano Soatto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Tatiana Likhomanenko · Qiantong Xu · Gabriel Synnaeve · Ronan Collobert · Alex Rogozhnikov
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
Youngkyu Hong · Eunho Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding and Improving Early Stopping for Learning with Noisy Labels
Yingbin Bai · Erkun Yang · Bo Han · Yanhua Yang · Jiatong Li · Yinian Mao · Gang Niu · Tongliang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Selective Classification with Limited Feedback
Aditya Gangrade · Anil Kag · Ashok Cutkosky · Venkatesh Saligrama
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Slice Sampling Reparameterization Gradients
David Zoltowski · Diana Cai · Ryan Adams
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
True Few-Shot Learning with Language Models
Ethan Perez · Douwe Kiela · Kyunghyun Cho
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Robin Winter · Frank Noe · Djork-Arné Clevert
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TriBERT: Human-centric Audio-visual Representation Learning
Tanzila Rahman · Mengyu Yang · Leonid Sigal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
jiafan he · Dongruo Zhou · Quanquan Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
Gregory Dexter · Kevin Bello · Jean Honorio
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
How can classical multidimensional scaling go wrong?
Rishi Sonthalia · Greg Van Buskirk · Benjamin Raichel · Anna Gilbert
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Equivalence between Neural Network and Support Vector Machine
Yilan Chen · Wei Huang · Lam Nguyen · Tsui-Wei Weng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model
Yuan Chen · Wenbo Fei · Qinxia Wang · Donglin Zeng · Yuanjia Wang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang · Zhigang Hua · Gan Liu · Jiayi Zhang · Junchi Yan · Feng Qi · Shuang Yang · Jun Zhou · Xiaokang Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Controlling Neural Networks with Rule Representations
Sungyong Seo · Sercan Arik · Jinsung Yoon · Xiang Zhang · Kihyuk Sohn · Tomas Pfister
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan · Ali Madani · Ben Krause · Nikhil Naik
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Backdoor Attack with Imperceptible Input and Latent Modification
Khoa Doan · Yingjie Lao · Ping Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang · Zhanghao Wu · Michael Luo · Sven Mika · Joseph Gonzalez · Ion Stoica
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Self-Adaptable Point Processes with Nonparametric Time Decays
Zhimeng Pan · Zheng Wang · Jeff M Phillips · Shandian Zhe
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen · Joey Litalien · Jun Gao · Zian Wang · Clement Fuji Tsang · Sameh Khamis · Or Litany · Sanja Fidler
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Hidenori Tanaka · Daniel Kunin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness in Ranking under Uncertainty
Ashudeep Singh · David Kempe · Thorsten Joachims
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An · Seungyong Moon · Jang-Hyun Kim · Hyun Oh Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
Haoping Bai · Meng Cao · Ping Huang · Jiulong Shan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Imitation with Neural Density Models
Kuno Kim · Akshat Jindal · Yang Song · Jiaming Song · Yanan Sui · Stefano Ermon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
Sucheol Lee · Donghwan Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
Ze Wang · Zichen Miao · Xiantong Zhen · Qiang Qiu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Yizhou Zhang · Karishma Sharma · Yan Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Identity testing for Mallows model
Róbert Busa-Fekete · Dimitris Fotakis · Balazs Szorenyi · Emmanouil Zampetakis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pointwise Bounds for Distribution Estimation under Communication Constraints
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan · Lin Ge · Rui Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Approximate optimization of convex functions with outlier noise
Anindya De · Sanjeev Khanna · Huan Li · MohammadHesam NikpeySalekde
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang · Ruosong Wang · Sham Kakade
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Clockwork Variational Autoencoders
Vaibhav Saxena · Jimmy Ba · Danijar Hafner
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning 3D Dense Correspondence via Canonical Point Autoencoder
An-Chieh Cheng · Xueting Li · Min Sun · Ming-Hsuan Yang · Sifei Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Locality Sensitive Teaching
Zhaozhuo Xu · Beidi Chen · Chaojian Li · Weiyang Liu · Le Song · Yingyan Lin · Anshumali Shrivastava
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Joint inference and input optimization in equilibrium networks
Swaminathan Gurumurthy · Shaojie Bai · Zachary Manchester · J. Zico Kolter
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
Krishnakant Saboo · Anirudh Choudhary · Yurui Cao · Gregory Worrell · David Jones · Ravishankar Iyer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Babhru Joshi · Xiaowei Li · Yaniv Plan · Ozgur Yilmaz
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Jingyu Yang · Sheng Shen · Huanjing Yue · Kun Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement
Heyang Qin · Samyam Rajbhandari · Olatunji Ruwase · Feng Yan · Lei Yang · Yuxiong He
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Feihu Huang · Junyi Li · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
Qi Deng · Wenzhi Gao