Publications

Conferences

The Benefits of Balance: From Information Projections to Variance Reduction
Lang Liu $^1$, Ronak Mehta $^1$, Soumik Pal, Zaid Harchaoui ( $^1$ Equal contribution)
NeurIPS, 2024 (SLDS Student Poster Award 2024 Honorable Mention).
PDF  

The Rao, Wald, and Likelihood-Ratio Tests under Generalized Self-Concordance
Lang Liu, Zaid Harchaoui
ICASSP, 2024.
PDF-short   PDF-long  
Slides  

Influence Diagnostics under Self-concordance
Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaid Harchaoui
AISTATS, 2023 (SLDS Student Paper Award 2023 Honorable Mention).
PDF  

Stochastic Optimization for Spectral Risk Measures
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui
AISTATS, 2023 (Risk Analysis Student Paper Award 2023 Honorable Mention).
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

Asymptotics of Discrete Schrödinger Bridges via Chaos Decomposition
Zaid Harchaoui, Lang Liu, Soumik Pal
Bernoulli, 2024.
PDF   Slides  

MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla $^1$, Lang Liu $^1$, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaid Harchaoui ( $^1$ Equal contribution)
Journal of Machine Learning Research, 2023 (Best Papers Track).
PDF  

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  

Dissertation

Statistical Divergences for Learning and Inference: Limit Laws and Non-Asymptotic Bounds
Lang Liu
PDF   Slides