Rebecca Willett
University of Chicago
H-index: 46
North America-United States
Top articles of Rebecca Willett
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Training neural operators to preserve invariant measures of chaotic attractors | Advances in Neural Information Processing Systems | Ruoxi Jiang Peter Y Lu Elena Orlova Rebecca Willett | 2024/2/13 |
Integrating uncertainty awareness into conformalized quantile regression | Raphael Rossellini Rina Foygel Barber Rebecca Willett | 2024/4/18 | |
Residual Connections Harm Self-Supervised Abstract Feature Learning | arXiv preprint arXiv:2404.10947 | Xiao Zhang Ruoxi Jiang William Gao Rebecca Willett Michael Maire | 2024/4/16 |
Training Machine Learning Emulators to Preserve Invariant Measures of Chaotic Attractors | Bulletin of the American Physical Society | Peter Lu Ruoxi Jiang Elena Orlova Rebecca Willett | 2024/3/7 |
Depth Separation in Norm-Bounded Infinite-Width Neural Networks | arXiv preprint arXiv:2402.08808 | Suzanna Parkinson Greg Ongie Rebecca Willett Ohad Shamir Nathan Srebro | 2024/2/13 |
Deep Stochastic Mechanics | arXiv preprint arXiv:2305.19685 | Elena Orlova Aleksei Ustimenko Ruoxi Jiang Peter Y Lu Rebecca Willett | 2023/5/31 |
Linear neural network layers promote learning single-and multiple-index models | arXiv preprint arXiv:2305.15598 | Suzanna Parkinson Greg Ongie Rebecca Willett | 2023/5/24 |
Reduced-order autodifferentiable ensemble Kalman filters | Inverse Problems | Yuming Chen Daniel Sanz-Alonso Rebecca Willett | 2023/10/27 |
Bagging provides assumption-free stability | arXiv preprint arXiv:2301.12600 | Jake A Soloff Rina Foygel Barber Rebecca Willett | 2023/1/30 |
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds | arXiv preprint arXiv:2308.06271 | Owen Melia Eric Jonas Rebecca Willett | 2023/7/27 |
Climate-driven changes in the predictability of seasonal precipitation | Nature communications | Phong VV Le James T Randerson Rebecca Willett Stephen Wright Padhraic Smyth | 2023/6/28 |
Distribution-free inference with hierarchical data | arXiv preprint arXiv:2306.06342 | Yonghoon Lee Rina Foygel Barber Rebecca Willett | 2023/6/10 |
The role of linear layers in nonlinear interpolating networks | arXiv preprint arXiv:2202.00856 | Greg Ongie Rebecca Willett | 2022/2/2 |
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting | arXiv preprint arXiv:2211.15856 | Elena Orlova Haokun Liu Raphael Rossellini Benjamin Cash Rebecca Willett | 2022/11/29 |
An optimal statistical and computational framework for generalized tensor estimation | The Annals of Statistics | Rungang Han Rebecca Willett Anru R Zhang | 2022/2 |
Machine learning for inverse problems (Conference Presentation) | Rebecca M Willett | 2022/10/4 | |
Autodifferentiable ensemble Kalman filters | SIAM Journal on Mathematics of Data Science | Yuming Chen Daniel Sanz-Alonso Rebecca Willett | 2022 |
Lazy Estimation of Variable Importance for Large Neural Networks | Yue Gao Abby Stevens Garvesh Raskutti Rebecca Willett | 2022/6/28 | |
Functional linear regression with mixed predictors | Journal of Machine Learning Research | Daren Wang Zifeng Zhao Yi Yu Rebecca Willett | 2022 |
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction | Proceedings of Machine Learning and Systems | Yi Ding Avinash Rao Hyebin Song Rebecca Willett Henry Hank Hoffmann | 2022/4/22 |
Co-Authors
