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