| 2022 | Label differential privacy via clustering. | Hossein Esfandiari, Vahab S. Mirrokni, Umar Syed, Sergei Vassilvitskii |
| 2022 | Convergence of Langevin Monte Carlo in Chi-Squared and Rnyi Divergence. | Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang |
| 2022 | Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data. | Matthew Engelhard, Ricardo Henao |
| 2022 | On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization. | Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan |
| 2022 | Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning. | Khaled Eldowa, Lorenzo Bisi, Marcello Restelli |
| 2022 | Learning Pareto-Efficient Decisions with Confidence. | Sofia Ek, Dave Zachariah, Peter Stoica |
| 2022 | A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence. | Alex R. Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai |
| 2022 | Second-Order Sensitivity Analysis for Bilevel Optimization. | Robert Dyro, Edward Schmerling, Nikos Archiga, Marco Pavone |
| 2022 | Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation. | Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon |
| 2022 | Efficient Online Bayesian Inference for Neural Bandits. | Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy |
| 2022 | Generative Models as Distributions of Functions. | Emilien Dupont, Yee Whye Teh, Arnaud Doucet |
| 2022 | Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. | Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rtsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever |
| 2022 | Gap-Dependent Bounds for Two-Player Markov Games. | Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du |
| 2022 | Conditionally Tractable Density Estimation using Neural Networks. | Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi |
| 2022 | Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs. | Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka |
| 2022 | A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. | Youssef Diouane, Aurlien Lucchi, Vihang Prakash Patil |
| 2022 | Fair Disaster Containment via Graph-Cut Problems. | Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti |
| 2022 | On the Global Optimum Convergence of Momentum-based Policy Gradient. | Yuhao Ding, Junzi Zhang, Javad Lavaei |
| 2022 | Kantorovich Mechanism for Pufferfish Privacy. | Ni Ding |
| 2022 | Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. | Or Dinari, Oren Freifeld |
| 2022 | Hardness of Learning a Single Neuron with Adversarial Label Noise. | Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren |
| 2022 | Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. | Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi |
| 2022 | Learning Tensor Representations for Meta-Learning. | Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal |
| 2022 | Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. | Zihao Deng, Siddartha Devic, Brendan Juba |
| 2022 | Weighted Gaussian Process Bandits for Non-stationary Environments. | Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff |