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Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Streamlining Variational Inference for Constraint Satisfaction Problems
In Thu Poster Session B
Aditya Grover · Tudor Achim · Stefano Ermon
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
In Thu Poster Session B
Rui Gao · Liyan Xie · Yao Xie · Huan Xu
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Smoothed analysis of the low-rank approach for smooth semidefinite programs
In Thu Poster Session B
Thomas Pumir · Samy Jelassi · Nicolas Boumal
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
In Thu Poster Session B
Yi Zhou · Zhe Wang · Yingbin Liang
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
In Thu Poster Session B
Zhize Li · Jian Li
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #6
Stochastic Chebyshev Gradient Descent for Spectral Optimization
In Thu Poster Session B
Insu Han · Haim Avron · Jinwoo Shin
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Proximal SCOPE for Distributed Sparse Learning
In Thu Poster Session B
Shenyi Zhao · Gong-Duo Zhang · Ming-Wei Li · Wu-Jun Li
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
In Thu Poster Session B
Tianyi Chen · Georgios Giannakis · Tao Sun · Wotao Yin
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
Direct Runge-Kutta Discretization Achieves Acceleration
In Thu Poster Session B
Jingzhao Zhang · Aryan Mokhtari · Suvrit Sra · Ali Jadbabaie
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
In Thu Poster Session B
Kevin Scaman · Francis Bach · Sebastien Bubeck · Laurent Massoulié · Yin Tat Lee
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
In Thu Poster Session B
Blake Woodworth · Jialei Wang · Adam Smith · Brendan McMahan · Nati Srebro
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
(Probably) Concave Graph Matching
In Thu Poster Session B
Haggai Maron · Yaron Lipman
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach
In Thu Poster Session B
Xiaohan Wei · Hao Yu · Qing Ling · Michael Neely
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Wasserstein Distributionally Robust Kalman Filtering
In Thu Poster Session B
Soroosh Shafieezadeh Abadeh · Viet Anh Nguyen · Daniel Kuhn · Peyman Mohajerin Esfahani
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
In Thu Poster Session B
Pavel Dvurechenskii · Darina Dvinskikh · Alexander Gasnikov · Cesar Uribe · Angelia Nedich
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #16
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
In Thu Poster Session B
Song Zhou · Swati Gupta · Madeleine Udell
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
Stochastic Spectral and Conjugate Descent Methods
In Thu Poster Session B
Dmitry Kovalev · Peter Richtarik · Eduard Gorbunov · Elnur Gasanov
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #18
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima
In Thu Poster Session B
Yaodong Yu · Pan Xu · Quanquan Gu
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
In Thu Poster Session B
Yi Xu · Rong Jin · Tianbao Yang
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
In Thu Poster Session B
Kush Bhatia · Aldo Pacchiano · Nicolas Flammarion · Peter Bartlett · Michael Jordan
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Sparse DNNs with Improved Adversarial Robustness
In Thu Poster Session B
Yiwen Guo · Chao Zhang · Changshui Zhang · Yurong Chen
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Constructing Fast Network through Deconstruction of Convolution
In Thu Poster Session B
Yunho Jeon · Junmo Kim
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Learning Loop Invariants for Program Verification
In Thu Poster Session B
Xujie Si · Hanjun Dai · Mukund Raghothaman · Mayur Naik · Le Song
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
In Thu Poster Session B
Kevin Ellis · Lucas Morales · Mathias Sablé-Meyer · Armando Solar-Lezama · Josh Tenenbaum
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Learning to Infer Graphics Programs from Hand-Drawn Images
In Thu Poster Session B
Kevin Ellis · Daniel Ritchie · Armando Solar-Lezama · Josh Tenenbaum
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
In Thu Poster Session B
Liwei Wang · Lunjia Hu · Jiayuan Gu · Zhiqiang Hu · Yue Wu · Kun He · John Hopcroft
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
Norm matters: efficient and accurate normalization schemes in deep networks
In Thu Poster Session B
Elad Hoffer · Ron Banner · Itay Golan · Daniel Soudry
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
ResNet with one-neuron hidden layers is a Universal Approximator
In Thu Poster Session B
Hongzhou Lin · Stefanie Jegelka
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
Hyperbolic Neural Networks
In Thu Poster Session B
Octavian Ganea · Gary Becigneul · Thomas Hofmann
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
In Thu Poster Session B
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
Improving Neural Program Synthesis with Inferred Execution Traces
In Thu Poster Session B
Richard Shin · Illia Polosukhin · Dawn Song
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
In Thu Poster Session B
David Zoltowski · Jonathan Pillow
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
In Thu Poster Session B
Supasorn Suwajanakorn · Noah Snavely · Jonathan Tompson · Mohammad Norouzi
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Learning to Reconstruct Shapes from Unseen Classes
In Thu Poster Session B
Xiuming Zhang · Zhoutong Zhang · Chengkai Zhang · Josh Tenenbaum · Bill Freeman · Jiajun Wu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
In Thu Poster Session B
Dan Hendrycks · Mantas Mazeika · Duncan Wilson · Kevin Gimpel
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
A Reduction for Efficient LDA Topic Reconstruction
In Thu Poster Session B
Matteo Almanza · Flavio Chierichetti · Alessandro Panconesi · Andrea Vattani
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
A Unified View of Piecewise Linear Neural Network Verification
In Thu Poster Session B
Rudy Bunel · Ilker Turkaslan · Philip Torr · Pushmeet Kohli · Pawan K Mudigonda
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
In Thu Poster Session B
Dimitris Bertsimas · Christopher McCord
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
The Convergence of Sparsified Gradient Methods
In Thu Poster Session B
Dan Alistarh · Torsten Hoefler · Mikael Johansson · Nikola Konstantinov · Sarit Khirirat · Cedric Renggli
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
Estimating Learnability in the Sublinear Data Regime
In Thu Poster Session B
Weihao Kong · Gregory Valiant
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Learning convex polytopes with margin
In Thu Poster Session B
Lee-Ad Gottlieb · Eran Kaufman · Aryeh Kontorovich · Gabriel Nivasch
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling
In Thu Poster Session B
Shannon McCurdy
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
In Thu Poster Session B
Shusen Wang · Fred Roosta · Peng Xu · Michael Mahoney
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
Wavelet regression and additive models for irregularly spaced data
In Thu Poster Session B
Asad Haris · Ali Shojaie · Noah Simon
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
In Thu Poster Session B
Pan Zhou · Xiaotong Yuan · Jiashi Feng
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
In Thu Poster Session B
Tomoya Murata · Taiji Suzuki
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
Robust Subspace Approximation in a Stream
In Thu Poster Session B
Roie Levin · Anish Prasad Sevekari · David Woodruff
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
A Practical Algorithm for Distributed Clustering and Outlier Detection
In Thu Poster Session B
Jiecao Chen · Erfan Sadeqi Azer · Qin Zhang
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
Compact Representation of Uncertainty in Clustering
In Thu Poster Session B
Craig Greenberg · Nicholas Monath · Ari Kobren · Patrick Flaherty · Andrew McGregor · Andrew McCallum
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Bipartite Stochastic Block Models with Tiny Clusters
In Thu Poster Session B
Stefan Neumann
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
In Thu Poster Session B
Vincent Cohen-Addad · Varun Kanade · Frederik Mallmann-Trenn
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Understanding Regularized Spectral Clustering via Graph Conductance
In Thu Poster Session B
Yilin Zhang · Karl Rohe
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Query K-means Clustering and the Double Dixie Cup Problem
In Thu Poster Session B
Eli Chien · Chao Pan · Olgica Milenkovic
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
How to tell when a clustering is (approximately) correct using convex relaxations
In Thu Poster Session B
Marina Meila
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
Derivative Estimation in Random Design
In Thu Poster Session B
Yu Liu · Kris De Brabanter
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
In Thu Poster Session B
Neha Gupta · Aaron Sidford
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
Boosted Sparse and Low-Rank Tensor Regression
In Thu Poster Session B
Jun Yu · Kun Chen · Wanwan Xu · Jiayu Zhou · Fei Wang
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
An Efficient Pruning Algorithm for Robust Isotonic Regression
In Thu Poster Session B
Cong Han Lim
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
A convex program for bilinear inversion of sparse vectors
In Thu Poster Session B
Alireza Aghasi · Ali Ahmed · Paul Hand · Babhru Joshi
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
In Thu Poster Session B
Kishan Wimalawarne · Hiroshi Mamitsuka
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
In Thu Poster Session B
Raghav Somani · Chirag Gupta · Prateek Jain · Praneeth Netrapalli
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
In Thu Poster Session B
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
On Controllable Sparse Alternatives to Softmax
In Thu Poster Session B
Anirban Laha · Saneem Ahmed Chemmengath · Priyanka Agrawal · Mitesh Khapra · Karthik Sankaranarayanan · Harish Ramaswamy
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Sparse PCA from Sparse Linear Regression
In Thu Poster Session B
Guy Bresler · Sung Min Park · Madalina Persu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Efficient Anomaly Detection via Matrix Sketching
In Thu Poster Session B
Vatsal Sharan · Parikshit Gopalan · Udi Wieder
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
In Thu Poster Session B
Minshuo Chen · Lin Yang · Mengdi Wang · Tuo Zhao
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Contrastive Learning from Pairwise Measurements
In Thu Poster Session B
Yi Chen · Zhuoran Yang · Yuchen Xie · Zhaoran Wang
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
In Thu Poster Session B
Minhyuk Sung · Hao Su · Ronald Yu · Leonidas Guibas
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
In Thu Poster Session B
Theo Lacombe · Marco Cuturi · Steve OUDOT
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Representation Learning of Compositional Data
In Thu Poster Session B
Marta Avalos · Richard Nock · Cheng Soon Ong · Julien Rouar · Ke Sun
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD
In Thu Poster Session B
Zeyuan Allen-Zhu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes
In Thu Poster Session B
Loucas Pillaud-Vivien · Alessandro Rudi · Francis Bach
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Optimal Subsampling with Influence Functions
In Thu Poster Session B
Daniel Ting · Eric Brochu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
In Thu Poster Session B
Isao Ishikawa · Keisuke Fujii · Masahiro Ikeda · Yuka Hashimoto · Yoshinobu Kawahara
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #78
Random Feature Stein Discrepancies
In Thu Poster Session B
Jonathan Huggins · Lester Mackey
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Informative Features for Model Comparison
In Thu Poster Session B
Wittawat Jitkrittum · Heishiro Kanagawa · Patsorn Sangkloy · James Hays · Bernhard Schölkopf · Arthur Gretton
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
On Fast Leverage Score Sampling and Optimal Learning
In Thu Poster Session B
Alessandro Rudi · Daniele Calandriello · Luigi Carratino · Lorenzo Rosasco
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
In Thu Poster Session B
Tam Le · Makoto Yamada
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
In Thu Poster Session B
Shahin Shahrampour · Vahid Tarokh
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
RetGK: Graph Kernels based on Return Probabilities of Random Walks
In Thu Poster Session B
Zhen Zhang · Mianzhi Wang · Yijian Xiang · Yan Huang · Arye Nehorai
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Nonparametric Density Estimation under Adversarial Losses
In Thu Poster Session B
Shashank Singh · Ananya Uppal · Boyue Li · Chun-Liang Li · Manzil Zaheer · Barnabas Poczos
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
In Thu Poster Session B
Priyank Jaini · Pascal Poupart · Yaoliang Yu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
Gaussian Process Conditional Density Estimation
In Thu Poster Session B
Vincent Dutordoir · Hugh Salimbeni · James Hensman · Marc Deisenroth
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
In Thu Poster Session B
Geneviève Robin · Hoi-To Wai · Julie Josse · Olga Klopp · Eric Moulines
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #88
Mixture Matrix Completion
In Thu Poster Session B
Daniel Pimentel-Alarcon
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Multivariate Time Series Imputation with Generative Adversarial Networks
In Thu Poster Session B
Yonghong Luo · Xiangrui Cai · Ying ZHANG · Jun Xu · Yuan xiaojie
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
Fully Understanding The Hashing Trick
In Thu Poster Session B
Lior Kamma · Casper B. Freksen · Kasper Green Larsen
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Learning semantic similarity in a continuous space
In Thu Poster Session B
Michel Deudon
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
Bilevel learning of the Group Lasso structure
In Thu Poster Session B
Jordan Frecon · Saverio Salzo · Massimiliano Pontil
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
Bayesian Structure Learning by Recursive Bootstrap
In Thu Poster Session B
Raanan Y. Rohekar · Yaniv Gurwicz · Shami Nisimov · Guy Koren · Gal Novik
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Learning from Group Comparisons: Exploiting Higher Order Interactions
In Thu Poster Session B
Yao Li · Minhao Cheng · Kevin Fujii · Fushing Hsieh · Cho-Jui Hsieh
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
A Structured Prediction Approach for Label Ranking
In Thu Poster Session B
Anna Korba · Alexandre Garcia · Florence d'Alché-Buc
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
In Thu Poster Session B
Chen Dan · Liu Leqi · Bryon Aragam · Pradeep Ravikumar · Eric Xing
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Binary Classification from Positive-Confidence Data
In Thu Poster Session B
Takashi Ishida · Gang Niu · Masashi Sugiyama
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #98
Learning SMaLL Predictors
In Thu Poster Session B
Vikas Garg · Ofer Dekel · Lin Xiao
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Contour location via entropy reduction leveraging multiple information sources
In Thu Poster Session B
Alexandre Marques · Remi Lam · Karen Willcox
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Multi-Class Learning: From Theory to Algorithm
In Thu Poster Session B
Jian Li · Yong Liu · Rong Yin · Hua Zhang · Lizhong Ding · Weiping Wang
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
In Thu Poster Session B
Zhilu Zhang · Mert Sabuncu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
A Smoother Way to Train Structured Prediction Models
In Thu Poster Session B
Krishna Pillutla · Vincent Roulet · Sham Kakade · Zaid Harchaoui
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
Constrained Graph Variational Autoencoders for Molecule Design
In Thu Poster Session B
Qi Liu · Miltiadis Allamanis · Marc Brockschmidt · Alexander Gaunt
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Learning Beam Search Policies via Imitation Learning
In Thu Poster Session B
Renato Negrinho · Matthew Gormley · Geoffrey Gordon
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Loss Functions for Multiset Prediction
In Thu Poster Session B
Sean Welleck · Zixin Yao · Yu Gai · Jialin Mao · Zheng Zhang · Kyunghyun Cho
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
Learning Confidence Sets using Support Vector Machines
In Thu Poster Session B
Wenbo Wang · Xingye Qiao
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Fast Similarity Search via Optimal Sparse Lifting
In Thu Poster Session B
Wenye Li · Jingwei Mao · Yin Zhang · Shuguang Cui
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
The Sparse Manifold Transform
In Thu Poster Session B
Yubei Chen · Dylan Paiton · Bruno Olshausen
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
When do random forests fail?
In Thu Poster Session B
Cheng Tang · Damien Garreau · Ulrike von Luxburg
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
In Thu Poster Session B
Tianyi Zhou · Shengjie Wang · Jeffrey A Bilmes
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
In Thu Poster Session B
Jesse Krijthe · Marco Loog
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
In Thu Poster Session B
Haitian Sun · William Cohen · Lidong Bing
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #113
Learning to Multitask
In Thu Poster Session B
Yu Zhang · Ying Wei · Qiang Yang
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
CatBoost: unbiased boosting with categorical features
In Thu Poster Session B
Liudmila Prokhorenkova · Gleb Gusev · Aleksandr Vorobev · Anna Veronika Dorogush · Andrey Gulin
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
In Thu Poster Session B
Lei Le · Andrew Patterson · Martha White
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Representation Learning for Treatment Effect Estimation from Observational Data
In Thu Poster Session B
Liuyi Yao · Sheng Li · Yaliang Li · Mengdi Huai · Jing Gao · Aidong Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
SimplE Embedding for Link Prediction in Knowledge Graphs
In Thu Poster Session B
Seyed Mehran Kazemi · David Poole
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
DeepProbLog: Neural Probabilistic Logic Programming
In Thu Poster Session B
Robin Manhaeve · Sebastijan Dumancic · Angelika Kimmig · Thomas Demeester · Luc De Raedt
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Watch Your Step: Learning Node Embeddings via Graph Attention
In Thu Poster Session B
Sami Abu-El-Haija · Bryan Perozzi · Rami Al-Rfou · Alexander Alemi
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Invariant Representations without Adversarial Training
In Thu Poster Session B
Daniel Moyer · Shuyang Gao · Rob Brekelmans · Aram Galstyan · Greg Ver Steeg
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Domain-Invariant Projection Learning for Zero-Shot Recognition
In Thu Poster Session B
An Zhao · Mingyu Ding · Jiechao Guan · Zhiwu Lu · Tao Xiang · Ji-Rong Wen
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Unsupervised Learning of View-invariant Action Representations
In Thu Poster Session B
Junnan Li · Yongkang Wong · Qi Zhao · Mohan Kankanhalli
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Neural Architecture Optimization
In Thu Poster Session B
Renqian Luo · Fei Tian · Tao Qin · Enhong Chen · Tie-Yan Liu
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #124
Scalable Hyperparameter Transfer Learning
In Thu Poster Session B
Valerio Perrone · Rodolphe Jenatton · Matthias W Seeger · Cedric Archambeau
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Learning To Learn Around A Common Mean
In Thu Poster Session B
Giulia Denevi · Carlo Ciliberto · Dimitris Stamos · Massimiliano Pontil
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
In Thu Poster Session B
JING LI · Rafal Mantiuk · Junle Wang · Suiyi Ling · Patrick Le Callet
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
In Thu Poster Session B
Shivapratap Gopakumar · Sunil Gupta · Santu Rana · Vu Nguyen · Svetha Venkatesh
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
In Thu Poster Session B
Yuxin Chen · Adish Singla · Oisin Mac Aodha · Pietro Perona · Yisong Yue
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
Active Learning for Non-Parametric Regression Using Purely Random Trees
In Thu Poster Session B
Jack Goetz · Ambuj Tewari · Paul Zimmerman
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
Interactive Structure Learning with Structural Query-by-Committee
In Thu Poster Session B
Christopher Tosh · Sanjoy Dasgupta
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Efficient nonmyopic batch active search
In Thu Poster Session B
Shali Jiang · Gustavo Malkomes · Matthew Abbott · Benjamin Moseley · Roman Garnett
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss
In Thu Poster Session B
Stephen Mussmann · Percy Liang
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Online Adaptive Methods, Universality and Acceleration
In Thu Poster Session B
Kfir Y. Levy · Alp Yurtsever · Volkan Cevher
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Online Improper Learning with an Approximation Oracle
In Thu Poster Session B
Elad Hazan · Wei Hu · Yuanzhi Li · Zhiyuan Li
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #135
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
In Thu Poster Session B
Hippolyt Ritter · Aleksandar Botev · David Barber
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
In Thu Poster Session B
Asier Mujika · Florian Meier · Angelika Steger
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Online Reciprocal Recommendation with Theoretical Performance Guarantees
In Thu Poster Session B
Claudio Gentile · Nikos Parotsidis · Fabio Vitale
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
Generalized Inverse Optimization through Online Learning
In Thu Poster Session B
Chaosheng Dong · Yiran Chen · Bo Zeng
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Adaptive Online Learning in Dynamic Environments
In Thu Poster Session B
Lijun Zhang · Shiyin Lu · Zhi-Hua Zhou
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Online convex optimization for cumulative constraints
In Thu Poster Session B
Jianjun Yuan · Andrew Lamperski
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
Efficient online algorithms for fast-rate regret bounds under sparsity
In Thu Poster Session B
Pierre Gaillard · Olivier Wintenberger
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
In Thu Poster Session B
Shinji Ito · Daisuke Hatano · Hanna Sumita · Akihiro Yabe · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Policy Regret in Repeated Games
In Thu Poster Session B
Raman Arora · Michael Dinitz · Teodor Vanislavov Marinov · Mehryar Mohri
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #145
Query Complexity of Bayesian Private Learning
In Thu Poster Session B
Kuang Xu
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
The Limits of Post-Selection Generalization
In Thu Poster Session B
Jonathan Ullman · Adam Smith · Kobbi Nissim · Uri Stemmer · Thomas Steinke
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
In Thu Poster Session B
Emilie Kaufmann · Wouter Koolen · Aurélien Garivier
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward
In Thu Poster Session B
Lixing Chen · Jie Xu · Zhuo Lu
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
TopRank: A practical algorithm for online stochastic ranking
In Thu Poster Session B
Tor Lattimore · Branislav Kveton · Shuai Li · Csaba Szepesvari
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
A Bandit Approach to Sequential Experimental Design with False Discovery Control
In Thu Poster Session B
Kevin Jamieson · Lalit Jain
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Adaptation to Easy Data in Prediction with Limited Advice
In Thu Poster Session B
Tobias Sommer Thune · Yevgeny Seldin
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Differentially Private Contextual Linear Bandits
In Thu Poster Session B
Roshan Shariff · Or Sheffet
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Community Exploration: From Offline Optimization to Online Learning
In Thu Poster Session B
Xiaowei Chen · Weiran Huang · Wei Chen · John C. S. Lui
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Adaptive Learning with Unknown Information Flows
In Thu Poster Session B
Yonatan Gur · Ahmadreza Momeni
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Multi-armed Bandits with Compensation
In Thu Poster Session B
Siwei Wang · Longbo Huang
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
Bandit Learning with Implicit Feedback
In Thu Poster Session B
Yi Qi · Qingyun Wu · Hongning Wang · Jie Tang · Maosong Sun
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Optimistic optimization of a Brownian
In Thu Poster Session B
Jean-Bastien Grill · Michal Valko · Remi Munos
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Bandit Learning with Positive Externalities
In Thu Poster Session B
Virag Shah · Jose Blanchet · Ramesh Johari
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
An Information-Theoretic Analysis for Thompson Sampling with Many Actions
In Thu Poster Session B
Shi Dong · Benjamin Van Roy
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Distributed Multi-Player Bandits - a Game of Thrones Approach
In Thu Poster Session B
Ilai Bistritz · Amir Leshem
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
In Thu Poster Session B
Bianca Dumitrascu · Karen Feng · Barbara Engelhardt
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Non-delusional Q-learning and value-iteration
In Thu Poster Session B
Tyler Lu · Dale Schuurmans · Craig Boutilier
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Differentiable MPC for End-to-end Planning and Control
In Thu Poster Session B
Brandon Amos · Ivan Jimenez · Jacob I Sacks · Byron Boots · J. Zico Kolter
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
In Thu Poster Session B
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor
[ Paper]  [ Poster] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
In Thu Poster Session B
Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Learning convex bounds for linear quadratic control policy synthesis
In Thu Poster Session B
Jack Umenberger · Thomas Schön
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
In Thu Poster Session B
Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
In Thu Poster Session B
Andrea Tirinzoni · Marek Petrik · Xiangli Chen · Brian Ziebart
[ Paper] 
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
In Thu Poster Session B
Dalin Guo · Angela Yu
[ Paper]