| 2021 | Learning Prediction Intervals for Regression: Generalization and Calibration. | Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang |
| 2021 | CADA: Communication-Adaptive Distributed Adam. | Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin |
| 2021 | Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. | Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher R |
| 2021 | Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT. | Vaggos Chatziafratis, Mohammad Mahdian, Sara Ahmadian |
| 2021 | Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning. | Zachary Charles, Jakub Konecn |
| 2021 | Approximation Algorithms for Orthogonal Non-negative Matrix Factorization. | Moses Charikar, Lunjia Hu |
| 2021 | Logical Team Q-learning: An approach towards factored policies in cooperative MARL. | Lucas Cassano, Ali H. Sayed |
| 2021 | Feedback Coding for Active Learning. | Gregory Canal, Matthieu R. Bloch, Christopher Rozell |
| 2021 | Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. | Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth |
| 2021 | Learning Bijective Feature Maps for Linear ICA. | Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts |
| 2021 | Identification of Matrix Joint Block Diagonalization. | Yunfeng Cai, Ping Li |
| 2021 | A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks. | Zhiqi Bu, Shiyun Xu, Kan Chen |
| 2021 | Why did the distribution change? | Kailash Budhathoki, Dominik Janzing, Patrick Blbaum, Hoiyi Ng |
| 2021 | Clustering multilayer graphs with missing nodes. | Guillaume Braun, Hemant Tyagi, Christophe Biernacki |
| 2021 | Rate-Regularization and Generalization in Variational Autoencoders. | Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2021 | Nonlinear Functional Output Regression: A Dictionary Approach. | Dimitri Bouche, Marianne Clausel, Franois Roueff, Florence d'Alch-Buc |
| 2021 | Calibrated Adaptive Probabilistic ODE Solvers. | Nathanael Bosch, Philipp Hennig, Filip Tronarp |
| 2021 | Matrn Gaussian Processes on Graphs. | Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande |
| 2021 | Stochastic Linear Bandits Robust to Adversarial Attacks. | Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett |
| 2021 | Learning Complexity of Simulated Annealing. | Avrim Blum, Chen Dan, Saeed Seddighin |
| 2021 | Differentiable Divergences Between Time Series. | Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert |
| 2021 | On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems. | Yingjie Bi, Javad Lavaei |
| 2021 | Differentiable Causal Discovery Under Unmeasured Confounding. | Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser |
| 2021 | Principal Component Regression with Semirandom Observations via Matrix Completion. | Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena |
| 2021 | Power of Hints for Online Learning with Movement Costs. | Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit |