Publications
Conferences
Orthogonal Statistical Learning with Self-Concordant Loss
Lang Liu, Carlos Cinelli, Zaid Harchaoui
COLT 2022 (to appear).
PDF
Entropy Regularized Optimal Transport Independence Criterion
Lang Liu, Soumik Pal, Zaid Harchaoui
AISTATS, 2022 (Oral, top 2.6% of the submissions).
PDF Code Poster Slides
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui
NeurIPS, 2021.
PDF Code Poster Slides
Score-Based Change Detection for Gradient-Based Learning Machines
Lang Liu, Joseph Salmon, Zaid Harchaoui
ICASSP, 2021.
PDF-short PDF-long Code Poster Slides Video
Workshops
Discrete Schrödinger Bridges with Applications to Two-Sample Homogeneity Testing
Zaid Harchaoui, Lang Liu, Soumik Pal
NeurIPS OTML Workshop, 2021 (Best Paper Award).
PDF Slides
Preprints
Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition
Zaid Harchaoui, Lang Liu, Soumik Pal
Submitted.
PDF Slides
Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces
Lang Liu, Mahdi Milani Fard, Sen Zhao
Submitted.
PDF