| 2021 | Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2021 | Robust hypothesis testing and distribution estimation in Hellinger distance. | Ananda Theertha Suresh |
| 2021 | Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification. | Zhuo Sun, Jijie Wu, Xiaoxu Li, Wenming Yang, Jing-Hao Xue |
| 2021 | CONTRA: Contrarian statistics for controlled variable selection. | Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath |
| 2021 | Evaluating Model Robustness and Stability to Dataset Shift. | Adarsh Subbaswamy, Roy Adams, Suchi Saria |
| 2021 | Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates. | Sebastian U. Stich, Amirkeivan Mohtashami, Martin Jaggi |
| 2021 | Kernel Interpolation for Scalable Online Gaussian Processes. | Samuel Stanton, Wesley J. Maddox, Ian A. Delbridge, Andrew Gordon Wilson |
| 2021 | When OT meets MoM: Robust estimation of Wasserstein Distance. | Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alch-Buc |
| 2021 | Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences. | Sreejith Sreekumar, Zhengxin Zhang, Ziv Goldfeld |
| 2021 | Learning GPLVM with arbitrary kernels using the unscented transformation. | Daniel Augusto de Souza, Diego Mesquita, Joo Paulo Pordeus Gomes, Csar Lincoln C. Mattos |
| 2021 | Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum. | Sho Sonoda, Isao Ishikawa, Masahiro Ikeda |
| 2021 | A Fast and Robust Method for Global Topological Functional Optimization. | Elchanan Solomon, Alexander Wagner, Paul Bendich |
| 2021 | Multi-Armed Bandits with Cost Subsidy. | Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula |
| 2021 | Continuum-Armed Bandits: A Function Space Perspective. | Shashank Singh |
| 2021 | The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. | Fergus Simpson, Alexis Boukouvalas, Vclav Cadek, Elvijs Sarkans, Nicolas Durrande |
| 2021 | Federated Multi-armed Bandits with Personalization. | Chengshuai Shi, Cong Shen, Jing Yang |
| 2021 | A Deterministic Streaming Sketch for Ridge Regression. | Benwei Shi, Jeff M. Phillips |
| 2021 | On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models. | Yuyang Shi, Rob Cornish |
| 2021 | Active Learning with Maximum Margin Sparse Gaussian Processes. | Weishi Shi, Qi Yu |
| 2021 | Significance of Gradient Information in Bayesian Optimization. | Shubhanshu Shekhar, Tara Javidi |
| 2021 | Sequential Random Sampling Revisited: Hidden Shuffle Method. | Michael Shekelyan, Graham Cormode |
| 2021 | On Learning Continuous Pairwise Markov Random Fields. | Abhin Shah, Devavrat Shah, Gregory W. Wornell |
| 2021 | The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. | Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti |
| 2021 | Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. | Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal |
| 2021 | Rao-Blackwellised parallel MCMC. | Tobias Schwedes, Ben Calderhead |