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Large-Scale Methods for Distributionally Robust Optimization

Oct 12, 2020
Daniel Levy, Yair Carmon, John C. Duchi, Aaron Sidford

* 59 pages, NeurIPS 2020 

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Necessary and Sufficient Geometries for Gradient Methods

Oct 28, 2019
Daniel Levy, John C. Duchi

* 23 pages. To appear at NeurIPS 2019 

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Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods

Sep 23, 2019
Daniel Levy, John C. Duchi

* 23 pages. To appear at NeurIPS 2019 

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Generalizing Hamiltonian Monte Carlo with Neural Networks

Mar 02, 2018
Daniel Levy, Matthew D. Hoffman, Jascha Sohl-Dickstein

* ICLR 2018 

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Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces

Nov 21, 2017
Daniel Levy, Stefano Ermon

* In AAAI 2018 proceedings 

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Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search

Jul 11, 2017
Stephen Mussmann, Daniel Levy, Stefano Ermon

* In UAI proceedings 

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