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Modified Gauss-Newton Algorithms under Noise


May 18, 2023
Krishna Pillutla, Vincent Roulet, Sham Kakade, Zaid Harchaoui

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* IEEE SSP 2023 

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Confidence Sets under Generalized Self-Concordance


Dec 31, 2022
Lang Liu, Zaid Harchaoui

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MAUVE Scores for Generative Models: Theory and Practice


Dec 30, 2022
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaid Harchaoui

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Stochastic Optimization for Spectral Risk Measures


Dec 10, 2022
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui

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Statistical and Computational Guarantees for Influence Diagnostics


Dec 08, 2022
Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaid Harchaoui

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Stochastic optimization on matrices and a graphon McKean-Vlasov limit


Oct 02, 2022
Zaid Harchaoui, Sewoong Oh, Soumik Pal, Raghav Somani, Raghavendra Tripathi

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* 35 pages 

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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates


Jul 13, 2022
Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui

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* This is a companion report to the arXiv report "Complexity Bounds of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control" by the same authors 

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Orthogonal Statistical Learning with Self-Concordant Loss


Apr 30, 2022
Lang Liu, Carlos Cinelli, Zaid Harchaoui

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Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates


Dec 31, 2021
Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui

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Entropy Regularized Optimal Transport Independence Criterion


Dec 31, 2021
Lang Liu, Soumik Pal, Zaid Harchaoui

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