| 2019 | Learning to Optimize under Non-Stationarity. | Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu |
| 2019 | A Topological Regularizer for Classifiers via Persistent Homology. | Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang |
| 2019 | On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. | Zhehui Chen, Xingguo Li, Lin Yang, Jarvis D. Haupt, Tuo Zhao |
| 2019 | Renyi Differentially Private ERM for Smooth Objectives. | Chen Chen, Jaewoo Lee, Dan Kifer |
| 2019 | Accelerating Imitation Learning with Predictive Models. | Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots |
| 2019 | Adaptive Gaussian Copula ABC. | Yanzhi Chen, Michael U. Gutmann |
| 2019 | $β^3$-IRT: A New Item Response Model and its Applications. | Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudncio, Tom Diethe, Peter A. Flach |
| 2019 | Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes. | Tongfei Chen, Jir Navrtil, Vijay S. Iyengar, Karthikeyan Shanmugam |
| 2019 | A Geometric Perspective on the Transferability of Adversarial Directions. | Zachary Charles, Harrison Rosenberg, Dimitris S. Papailiopoulos |
| 2019 | Hierarchical Clustering for Euclidean Data. | Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh, Grigory Yaroslavtsev |
| 2019 | Vine copula structure learning via Monte Carlo tree search. | Bo Chang, Shenyi Pan, Harry Joe |
| 2019 | Improving Quadrature for Constrained Integrands. | Henry R. Chai, Roman Garnett |
| 2019 | What made you do this? Understanding black-box decisions with sufficient input subsets. | Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford |
| 2019 | Risk-Averse Stochastic Convex Bandit. | Adrian Rivera Cardoso, Huan Xu |
| 2019 | Differentially Private Online Submodular Minimization. | Adrian Rivera Cardoso, Rachel Cummings |
| 2019 | SMOGS: Social Network Metrics of Game Success. | Fan Bu, Sonia Xu, Katherine A. Heller, Alexander Volfovsky |
| 2019 | Infinite Task Learning in RKHSs. | Romain Brault, Alex Lambert, Zoltn Szab, Maxime Sangnier, Florence d'Alch-Buc |
| 2019 | Nonlinear Acceleration of Primal-Dual Algorithms. | Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont |
| 2019 | Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. | Mathieu Blondel, Andr F. T. Martins, Vlad Niculae |
| 2019 | Sample-Efficient Imitation Learning via Generative Adversarial Nets. | Lionel Blond, Alexandros Kalousis |
| 2019 | Multi-Task Time Series Analysis applied to Drug Response Modelling. | Alex Bird, Christopher K. I. Williams, Christopher Hawthorne |
| 2019 | Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain. | Quentin Berthet, Varun Kanade |
| 2019 | Detection of Planted Solutions for Flat Satisfiability Problems. | Quentin Berthet, Jordan S. Ellenberg |
| 2019 | Boosting Transfer Learning with Survival Data from Heterogeneous Domains. | Alexis Bellot, Mihaela van der Schaar |
| 2019 | Distributional reinforcement learning with linear function approximation. | Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro, Subhodeep Moitra |