| 2020 | Deep Active Learning: Unified and Principled Method for Query and Training. | Changjian Shui, Fan Zhou, Christian Gagn, Boyu Wang |
| 2020 | Decentralized Multi-player Multi-armed Bandits with No Collision Information. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2020 | Sparse Orthogonal Variational Inference for Gaussian Processes. | Jiaxin Shi, Michalis K. Titsias, Andriy Mnih |
| 2020 | Accelerated Bayesian Optimisation through Weight-Prior Tuning. | Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak |
| 2020 | Differentiable Feature Selection by Discrete Relaxation. | Rishit Sheth, Nicol Fusi |
| 2020 | General Identification of Dynamic Treatment Regimes Under Interference. | Eli Sherman, David Arbour, Ilya Shpitser |
| 2020 | Learning spectrograms with convolutional spectral kernels. | Zheyang Shen, Markus Heinonen, Samuel Kaski |
| 2020 | Private k-Means Clustering with Stability Assumptions. | Moshe Shechner, Or Sheffet, Uri Stemmer |
| 2020 | A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option. | Pon Kumar Sharoff, Nishant A. Mehta, Ravi Ganti |
| 2020 | Learning piecewise Lipschitz functions in changing environments. | Dravyansh Sharma, Maria-Florina Balcan, Travis Dick |
| 2020 | Fixed-confidence guarantees for Bayesian best-arm identification. | Xuedong Shang, Rianne de Heide, Pierre Mnard, Emilie Kaufmann, Michal Valko |
| 2020 | Choosing the Sample with Lowest Loss makes SGD Robust. | Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi |
| 2020 | A single algorithm for both restless and rested rotting bandits. | Julien Seznec, Pierre Mnard, Alessandro Lazaric, Michal Valko |
| 2020 | Mixed Strategies for Robust Optimization of Unknown Objectives. | Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause |
| 2020 | Kernel Conditional Density Operators. | Ingmar Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet |
| 2020 | Thompson Sampling for Linearly Constrained Bandits. | Vidit Saxena, Joakim Jaldn, Joseph Gonzalez |
| 2020 | Unconditional Coresets for Regularized Loss Minimization. | Alireza Samadian, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Ryan R. Curtin |
| 2020 | Minimax Rank-$1$ Matrix Factorization. | Venkatesh Saligrama, Alexander Olshevsky, Julien M. Hendrickx |
| 2020 | On Maximization of Weakly Modular Functions: Guarantees of Multi-stage Algorithms, Tractability, and Hardness. | Shinsaku Sakaue |
| 2020 | Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraint. | Shinsaku Sakaue |
| 2020 | Best-item Learning in Random Utility Models with Subset Choices. | Aadirupa Saha, Aditya Gopalan |
| 2020 | Variational Integrator Networks for Physically Structured Embeddings. | Steindr Smundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth |
| 2020 | Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. | Omid Sadeghi, Maryam Fazel |
| 2020 | The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions. | Feras Saad, Cameron E. Freer, Martin C. Rinard, Vikash Mansinghka |
| 2020 | An Asymptotic Rate for the LASSO Loss. | Cynthia Rush |