| 2021 | Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. | Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng |
| 2021 | Regularized Policies are Reward Robust. | Hisham Husain, Kamil Ciosek, Ryota Tomioka |
| 2021 | Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers. | Lunjia Hu, Omer Reingold |
| 2021 | Learning User Preferences in Non-Stationary Environments. | Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz |
| 2021 | Alternating Direction Method of Multipliers for Quantization. | Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn |
| 2021 | Hyperparameter Transfer Learning with Adaptive Complexity. | Samuel Horvth, Aaron Klein, Peter Richtrik, Cdric Archambeau |
| 2021 | Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions. | Shunsuke Horii |
| 2021 | Non-Stationary Off-Policy Optimization. | Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed |
| 2021 | Learning with risk-averse feedback under potentially heavy tails. | Matthew J. Holland, El Mehdi Haress |
| 2021 | Robustness and scalability under heavy tails, without strong convexity. | Matthew Holland |
| 2021 | Learning Contact Dynamics using Physically Structured Neural Networks. | Andreas Hochlehnert, Alexander Terenin, Steindr Smundsson, Marc Peter Deisenroth |
| 2021 | Online Robust Control of Nonlinear Systems with Large Uncertainty. | Dimitar Ho, Hoang Minh Le, John Doyle, Yisong Yue |
| 2021 | Shadow Manifold Hamiltonian Monte Carlo. | Christopher van der Heide, Fred Roosta, Liam Hodgkinson, Dirk P. Kroese |
| 2021 | Stable ResNet. | Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau |
| 2021 | The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry. | Tomohiro Hayase, Ryo Karakida |
| 2021 | Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. | Manuel Haumann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir |
| 2021 | DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation. | Frederik Harder, Kamil Adamczewski, Mijung Park |
| 2021 | Online Sparse Reinforcement Learning. | Botao Hao, Tor Lattimore, Csaba Szepesvri, Mengdi Wang |
| 2021 | Adaptive Approximate Policy Iteration. | Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvri |
| 2021 | Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries. | Steve Hanneke, Liu Yang |
| 2021 | Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. | Xing Han, Sambarta Dasgupta, Joydeep Ghosh |
| 2021 | On the High Accuracy Limitation of Adaptive Property Estimation. | Yanjun Han |
| 2021 | Federated Learning with Compression: Unified Analysis and Sharp Guarantees. | Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi |
| 2021 | Fractional moment-preserving initialization schemes for training deep neural networks. | Mert Grbzbalaban, Yuanhan Hu |
| 2021 | Learning Temporal Point Processes with Intermittent Observations. | Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De |