| 2020 | Linear Dynamics: Clustering without identification. | Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt |
| 2020 | Obfuscation via Information Density Estimation. | Hsiang Hsu, Shahab Asoodeh, Flvio P. Calmon |
| 2020 | Sequential no-Substitution k-Median-Clustering. | Tom Hess, Sivan Sabato |
| 2020 | Safe-Bayesian Generalized Linear Regression. | Rianne de Heide, Alisa Kirichenko, Peter Grunwald, Nishant A. Mehta |
| 2020 | On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. | Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida |
| 2020 | Dependent randomized rounding for clustering and partition systems with knapsack constraints. | David G. Harris, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh |
| 2020 | Sparse and Low-rank Tensor Estimation via Cubic Sketchings. | Botao Hao, Anru R. Zhang, Guang Cheng |
| 2020 | Adaptive Exploration in Linear Contextual Bandit. | Botao Hao, Tor Lattimore, Csaba Szepesvri |
| 2020 | Scalable Feature Selection for (Multitask) Gradient Boosted Trees. | Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian |
| 2020 | MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search. | Insu Han, Jennifer Gillenwater |
| 2020 | Stein Variational Inference for Discrete Distributions. | Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu |
| 2020 | A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. | Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy |
| 2020 | Statistical guarantees for local graph clustering. | Wooseok Ha, Kimon Fountoulakis, Michael W. Mahoney |
| 2020 | Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter. | Wenshuo Guo, Nhat Ho, Michael I. Jordan |
| 2020 | Differentiable Causal Backdoor Discovery. | Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva |
| 2020 | Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training. | Fangda Gu, Armin Askari, Laurent El Ghaoui |
| 2020 | Bayesian Reinforcement Learning via Deep, Sparse Sampling. | Divya Grover, Debabrota Basu, Christos Dimitrakakis |
| 2020 | On Thompson Sampling for Smoother-than-Lipschitz Bandits. | James A. Grant, David S. Leslie |
| 2020 | A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent. | Eduard Gorbunov, Filip Hanzely, Peter Richtrik |
| 2020 | Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency. | Ziv Goldfeld, Kristjan H. Greenewald |
| 2020 | Learning Ising and Potts Models with Latent Variables. | Surbhi Goel |
| 2020 | Constructing a provably adversarially-robust classifier from a high accuracy one. | Grzegorz Gluch, Rdiger L. Urbanke |
| 2020 | Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. | Avishek Ghosh, Kannan Ramchandran |
| 2020 | Low-rank regularization and solution uniqueness in over-parameterized matrix sensing. | Kelly Geyer, Anastasios Kyrillidis, Amir Kalev |
| 2020 | Integrals over Gaussians under Linear Domain Constraints. | Alexandra Gessner, Oindrila Kanjilal, Philipp Hennig |