| 2021 | Random Coordinate Underdamped Langevin Monte Carlo. | Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright |
| 2021 | GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences. | Mucong Ding, Constantinos Daskalakis, Soheil Feizi |
| 2021 | Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. | Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan |
| 2021 | Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. | Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou |
| 2021 | Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency. | Yuyang Deng, Mehrdad Mahdavi |
| 2021 | Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms. | Ilker Demirel, Cem Tekin |
| 2021 | Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. | Alicia Curth, Mihaela van der Schaar |
| 2021 | A Change of Variables Method For Rectangular Matrix-Vector Products. | Edmond Cunningham, Madalina Fiterau |
| 2021 | Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. | Kai Cui, Heinz Koeppl |
| 2021 | Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression. | Ian Covert, Su-In Lee |
| 2021 | Variational Autoencoder with Learned Latent Structure. | Marissa Connor, Gregory Canal, Christopher Rozell |
| 2021 | Offline detection of change-points in the mean for stationary graph signals. | Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos |
| 2021 | Aligning Time Series on Incomparable Spaces. | Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth |
| 2021 | Differentially Private Weighted Sampling. | Edith Cohen, Ofir Geri, Tams Sarls, Uri Stemmer |
| 2021 | Online k-means Clustering. | Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom |
| 2021 | A Hybrid Approximation to the Marginal Likelihood. | Eric Chuu, Debdeep Pati, Anirban Bhattacharya |
| 2021 | Reinforcement Learning in Parametric MDPs with Exponential Families. | Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard |
| 2021 | No-regret Algorithms for Multi-task Bayesian Optimization. | Sayak Ray Chowdhury, Aditya Gopalan |
| 2021 | Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. | Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima |
| 2021 | Fast and Smooth Interpolation on Wasserstein Space. | Sinho Chewi, Julien Clancy, Thibaut Le Gouic, Philippe Rigollet, George Stepaniants, Austin J. Stromme |
| 2021 | List Learning with Attribute Noise. | Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie |
| 2021 | Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. | Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo |
| 2021 | Accumulations of Projections - A Unified Framework for Random Sketches in Kernel Ridge Regression. | Yifan Chen, Yun Yang |
| 2021 | Fast Statistical Leverage Score Approximation in Kernel Ridge Regression. | Yifan Chen, Yun Yang |
| 2021 | Active Online Learning with Hidden Shifting Domains. | Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang |