Publications
Conferences
Influence Diagnostics under Self-concordance
Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaid Harchaoui
AISTATS, 2023.
PDF
Stochastic Optimization for Spectral Risk Measures
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui
AISTATS, 2023.
PDF
Orthogonal Statistical Learning with Self-Concordant Loss
Lang Liu, Carlos Cinelli, Zaid Harchaoui
COLT 2022.
PDF Slides
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
Journals
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu, Mahdi Milani Fard, Sen Zhao
Transactions on Machine Learning Research, 2022.
PDF
Workshops
Likelihood Score under Generalized Self-Concordance
Lang Liu, Zaid Harchaoui
NeurIPS Score-Based Methods Workshop, 2022.
PDF Poster
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
Confidence Sets under Generalized Self-Concordance
Lang Liu, Zaid Harchaoui
PDF Slides
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla$^\star$, Lang Liu$^\star$, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaid Harchaoui ($^\star$Equal contribution)
PDF
Asymptotics of Discrete Schrödinger Bridges via Chaos Decomposition
Zaid Harchaoui, Lang Liu, Soumik Pal
Major revision at Bernoulli.
PDF Slides