Li, Bai

6 publications

CVPR 2020 Enhancing Cross-Task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar

AAAI 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

NeurIPS 2019 Certified Adversarial Robustness with Additive Noise Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

ICLR 2019 Improving Sequence-to-Sequence Learning via Optimal Transport Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin

AISTATS 2019 On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li, Changyou Chen, Hao Liu, Lawrence Carin

UAI 2018 A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen