| 2019 | Multiscale Gaussian Process Level Set Estimation. | Shubhanshu Shekhar, Tara Javidi |
| 2019 | Adaptive MCMC via Combining Local Samplers. | Kirash Shaloudegi, Andrs Gyrgy |
| 2019 | Truncated Back-propagation for Bilevel Optimization. | Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots |
| 2019 | Rotting bandits are no harder than stochastic ones. | Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko |
| 2019 | Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. | Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause |
| 2019 | Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. | Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai |
| 2019 | Can You Trust This Prediction? Auditing Pointwise Reliability After Learning. | Peter Schulam, Suchi Saria |
| 2019 | Bernoulli Race Particle Filters. | Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis |
| 2019 | Optimal Testing in the Experiment-rich Regime. | Sven Schmit, Virag Shah, Ramesh Johari |
| 2019 | Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros. | Shinsaku Sakaue |
| 2019 | Towards Gradient Free and Projection Free Stochastic Optimization. | Anit Kumar Sahu, Manzil Zaheer, Soummya Kar |
| 2019 | Active Ranking with Subset-wise Preferences. | Aadirupa Saha, Aditya Gopalan |
| 2019 | A Higher-Order Kolmogorov-Smirnov Test. | Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani |
| 2019 | Markov Properties of Discrete Determinantal Point Processes. | Kayvan Sadeghi, Alessandro Rinaldo |
| 2019 | A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. | Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka |
| 2019 | Orthogonal Estimation of Wasserstein Distances. | Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tams Sarls, Adrian Weller |
| 2019 | Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization. | Filip de Roos, Philipp Hennig |
| 2019 | On Theory for BART. | Veronika Rockov, Enakshi Saha |
| 2019 | Reversible Jump Probabilistic Programming. | David A. Roberts, Marcus Gallagher, Thomas Taimre |
| 2019 | Variational Noise-Contrastive Estimation. | Benjamin Rhodes, Michael U. Gutmann |
| 2019 | The Gaussian Process Autoregressive Regression Model (GPAR). | James Requeima, William Tebbutt, Wessel P. Bruinsma, Richard E. Turner |
| 2019 | Exploring | Wenbo Ren, Jia Liu, Ness B. Shroff |
| 2019 | Optimal Transport for Multi-source Domain Adaptation under Target Shift. | Ievgen Redko, Nicolas Courty, Rmi Flamary, Devis Tuia |
| 2019 | Stochastic Negative Mining for Learning with Large Output Spaces. | Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Jiecao Chen, Sanjiv Kumar |
| 2019 | Online learning with feedback graphs and switching costs. | Anshuka Rangi, Massimo Franceschetti |