Bai, Ke

7 publications

AISTATS 2023 Estimating Total Correlation with Mutual Information Estimators Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin

WACV 2022 Learning to Weight Filter Groups for Robust Classification Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David Carlson

AAAI 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin

AISTATS 2019 Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin

ICLR 2019 GO Gradient for Expectation-Based Objectives Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin

NeurIPS 2019 On Fenchel Mini-Max Learning Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy Bobashev, Lawrence Carin

ICML 2019 Variational Annealing of GANs: A Langevin Perspective Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin Duke