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Lang Liu
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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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Orthogonal Statistical Learning with Self-Concordant Loss


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

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Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces


Feb 04, 2022
Lang Liu, Mahdi Milani Fard, Sen Zhao

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Entropy Regularized Optimal Transport Independence Criterion


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

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Score-Based Change Detection for Gradient-Based Learning Machines


Jun 27, 2021
Lang Liu, Joseph Salmon, Zaid Harchaoui

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Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral


Jun 15, 2021
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui

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Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition


Nov 17, 2020
Zaid Harchaoui, Lang Liu, Soumik Pal

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