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Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting


Nov 29, 2022
Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett

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* Journal of Climate 

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Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification


Nov 03, 2022
Ruoxi Jiang, Rebecca Willett

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* Accepted at NeurIPS 2022 

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Cloud Classification with Unsupervised Deep Learning


Sep 30, 2022
Takuya Kurihana, Ian Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenco, Casper Neo, Elisabeth Moyer

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* 5 pages, 6 figures, Proceedings for Climate Informatics Workshop 2019 Paris 

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NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction


Mar 16, 2022
Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann

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The Role of Linear Layers in Nonlinear Interpolating Networks


Feb 02, 2022
Greg Ongie, Rebecca Willett

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Adaptive Differentially Private Empirical Risk Minimization


Oct 25, 2021
Xiaoxia Wu, Lingxiao Wang, Irina Cristali, Quanquan Gu, Rebecca Willett

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Auto-differentiable Ensemble Kalman Filters


Jul 19, 2021
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett

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Pure Exploration in Kernel and Neural Bandits


Jun 22, 2021
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak

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