Liu, Lang

9 publications

NeurIPS 2024 The Benefits of Balance: From Information Projections to Variance Reduction Lang Liu, Ronak Mehta, Soumik Pal, Zaid Harchaoui

AISTATS 2023 Influence Diagnostics Under Self-Concordance Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaid Harchaoui

JMLR 2023 MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaid Harchaoui

AISTATS 2023 Stochastic Optimization for Spectral Risk Measures Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui

AISTATS 2022 Entropy Regularized Optimal Transport Independence Criterion Lang Liu, Soumik Pal, Zaid Harchaoui

TMLR 2022 Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu, Mahdi Milani Fard, Sen Zhao

NeurIPSW 2022 Likelihood Score Under Generalized Self-Concordance Lang Liu, Zaid Harchaoui

COLT 2022 Orthogonal Statistical Learning with Self-Concordant Loss Lang Liu, Carlos Cinelli, Zaid Harchaoui

NeurIPS 2021 Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui