| 2019 | Designing Optimal Binary Rating Systems. | Nikhil Garg, Ramesh Johari |
| 2019 | Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems. | Dan Garber, Atara Kaplan |
| 2019 | Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity. | Dan Garber |
| 2019 | Learning One-hidden-layer Neural Networks under General Input Distributions. | Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath |
| 2019 | Auto-Encoding Total Correlation Explanation. | Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan |
| 2019 | Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals. | Marco Gaboardi, Ryan Rogers, Or Sheffet |
| 2019 | Multi-Observation Regression. | Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner |
| 2019 | Statistical Optimal Transport via Factored Couplings. | Aden Forrow, Jan-Christian Htter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, Jonathan Weed |
| 2019 | Regularized Contextual Bandits. | Xavier Fontaine, Quentin Berthet, Vianney Perchet |
| 2019 | Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. | Jean Feydy, Thibault Sjourn, Franois-Xavier Vialard, Shun-ichi Amari, Alain Trouv, Gabriel Peyr |
| 2019 | A maximum-mean-discrepancy goodness-of-fit test for censored data. | Tamara Fernandez, Arthur Gretton |
| 2019 | High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference. | Huijie Feng, Yang Ning |
| 2019 | Binary Space Partitioning Forest. | Xuhui Fan, Bin Li, Scott A. Sisson |
| 2019 | Precision Matrix Estimation with Noisy and Missing Data. | Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou |
| 2019 | Reparameterizing Distributions on Lie Groups. | Luca Falorsi, Pim de Haan, Tim R. Davidson, Patrick Forr |
| 2019 | Model Consistency for Learning with Mirror-Stratifiable Regularizers. | Jalal Fadili, Guillaume Garrigos, Jrme Malick, Gabriel Peyr |
| 2019 | Structured Neural Topic Models for Reviews. | Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent |
| 2019 | Structured Disentangled Representations. | Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2019 | On Structure Priors for Learning Bayesian Networks. | Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto |
| 2019 | Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. | Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman |
| 2019 | Probabilistic Semantic Inpainting with Pixel Constrained CNNs. | Emilien Dupont, Suhas Suresha |
| 2019 | Interaction Detection with Bayesian Decision Tree Ensembles. | Junliang Du, Antonio R. Linero |
| 2019 | Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity. | Simon S. Du, Wei Hu |
| 2019 | Fast Algorithms for Sparse Reduced-Rank Regression. | Benjamin Dubois, Jean-Franois Delmas, Guillaume Obozinski |
| 2019 | Blind Demixing via Wirtinger Flow with Random Initialization. | Jialin Dong, Yuanming Shi |