Papers

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui
NeurIPS, 2021.
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Discrete Schrödinger Bridges with Applications to Two-Sample Homogeneity Testing
Zaid Harchaoui, Lang Liu, Soumik Pal
NeurIPS OTML Workshop, 2021 (Oral).
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Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition
Zaid Harchaoui, Lang Liu, Soumik Pal
Submitted.
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Score-Based Change Detection for Gradient-Based Learning Machines
Lang Liu, Joseph Salmon, Zaid Harchaoui
ICASSP, 2021.
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Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces
Lang Liu, Mahdi Milani Fard, Sen Zhao
Submitted.

Entropy Regularized Optimal Transport Independence Criterion
Lang Liu, Soumik Pal, Zaid Harchaoui
Submitted.