| 2017 | Faster Coordinate Descent via Adaptive Importance Sampling. | Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi |
| 2017 | Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. | Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi |
| 2017 | Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. | Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda |
| 2017 | Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. | Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec |
| 2017 | DP-EM: Differentially Private Expectation Maximization. | Mijung Park, James R. Foulds, Kamalika Choudhary, Max Welling |
| 2017 | Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines. | Atsushi Nitanda, Taiji Suzuki |
| 2017 | Label Filters for Large Scale Multilabel Classification. | Alexandru Niculescu-Mizil, Ehsan Abbasnejad |
| 2017 | A Sub-Quadratic Exact Medoid Algorithm. | James Newling, Franois Fleuret |
| 2017 | Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms. | Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei |
| 2017 | Learning Optimal Interventions. | Jonas Mueller, David Reshef, George Du, Tommi S. Jaakkola |
| 2017 | Co-Occurring Directions Sketching for Approximate Matrix Multiply. | Youssef Mroueh, Etienne Marcheret, Vaibhava Goel |
| 2017 | Minimax-optimal semi-supervised regression on unknown manifolds. | Amit Moscovich, Ariel Jaffe, Boaz Nadler |
| 2017 | Signal-based Bayesian Seismic Monitoring. | David A. Moore, Stuart Russell |
| 2017 | Fast rates with high probability in exp-concave statistical learning. | Nishant A. Mehta |
| 2017 | Communication-Efficient Learning of Deep Networks from Decentralized Data. | Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agera y Arcas |
| 2017 | Minimax Density Estimation for Growing Dimension. | Daniel McDonald |
| 2017 | Sequential Multiple Hypothesis Testing with Type I Error Control. | Alan Malek, Sumeet Katariya, Yinlam Chow, Mohammad Ghavamzadeh |
| 2017 | Relativistic Monte Carlo. | Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever, Yee Whye Teh, Sebastian J. Vollmer |
| 2017 | A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2017 | A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe. | Francesco Locatello, Rajiv Khanna, Michael Tschannen, Martin Jaggi |
| 2017 | Minimax Gaussian Classification & Clustering. | Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar |
| 2017 | Attributing Hacks. | Ziqi Liu, Alexander J. Smola, Kyle Soska, Yu-Xiang Wang, Qinghua Zheng |
| 2017 | Black-box Importance Sampling. | Qiang Liu, Jason D. Lee |
| 2017 | Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems. | Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski |
| 2017 | Efficient Rank Aggregation via Lehmer Codes. | Pan Li, Arya Mazumdar, Olgica Milenkovic |