| 2019 | Bayesian Optimization with Binary Auxiliary Information. | Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low |
| 2019 | Efficient Search-Based Weighted Model Integration. | Zhe Zeng, Guy Van den Broeck |
| 2019 | Finding Minimal d-separators in Linear Time and Applications. | Benito van der Zander, Maciej Liskiewicz |
| 2019 | Online Factorization and Partition of Complex Networks by Random Walk. | Lin F. Yang, Zheng Yu, Vladimir Braverman, Tuo Zhao, Mengdi Wang |
| 2019 | Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems. | Yingzhen Yang, Jiahui Yu |
| 2019 | Learning with Non-Convex Truncated Losses by SGD. | Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang |
| 2019 | An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient. | Pan Xu, Felicia Gao, Quanquan Gu |
| 2019 | One-Shot Inference in Markov Random Fields. | Hao Xiong, Yuanzhen Guo, Yibo Yang, Nicholas Ruozzi |
| 2019 | A Fast Proximal Point Method for Computing Exact Wasserstein Distance. | Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha |
| 2019 | Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation. | Cong Xie, Oluwasanmi Koyejo, Indranil Gupta |
| 2019 | Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning. | Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson |
| 2019 | Learnability for the Information Bottleneck. | Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark |
| 2019 | Random Clique Covers for Graphs with Local Density and Global Sparsity. | Sinead A. Williamson, Mauricio Tec |
| 2019 | Cubic Regularization with Momentum for Nonconvex Optimization. | Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan |
| 2019 | Conditional Expectation Propagation. | Zheng Wang, Shandian Zhe |
| 2019 | Deep Mixture of Experts via Shallow Embedding. | Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez |
| 2019 | Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. | Guanghui Wang, Shiyin Lu, Lijun Zhang |
| 2019 | Truly Proximal Policy Optimization. | Yuhui Wang, Hao He, Xiaoyang Tan |
| 2019 | Empirical Mechanism Design: Designing Mechanisms from Data. | Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald |
| 2019 | Correlated Learning for Aggregation Systems. | Tanvi Verma, Pradeep Varakantham |
| 2019 | Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. | Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling |
| 2019 | Reducing Exploration of Dying Arms in Mortal Bandits. | Stefano Trac, Weiyu Yan, Cynthia Rudin |
| 2019 | Randomized Value Functions via Multiplicative Normalizing Flows. | Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent |
| 2019 | Variational Sparse Coding. | Francesco Tonolini, Bjrn Sand Jensen, Roderick Murray-Smith |
| 2019 | Periodic Kernel Approximation by Index Set Fourier Series Features. | Anthony Tompkins, Fabio Ramos |