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Arindam Banerjee

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Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration

Sep 29, 2021
Sijie He, Xinyan Li, Laurie Trenary, Benjamin A Cash, Timothy DelSole, Arindam Banerjee

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Noisy Truncated SGD: Optimization and Generalization

Feb 26, 2021
Yingxue Zhou, Xinyan Li, Arindam Banerjee

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Experiments with Rich Regime Training for Deep Learning

Feb 26, 2021
Xinyan Li, Arindam Banerjee

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Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Jul 07, 2020
Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee

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Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

Jun 24, 2020
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee

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Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds

Jun 24, 2020
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee

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Gradient Boosted Flows

Feb 27, 2020
Robert Giaquinto, Arindam Banerjee

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Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis

Feb 26, 2020
Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee

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De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors

Feb 23, 2020
Arindam Banerjee, Tiancong Chen, Yingxue Zhou

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