Hao Liu

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 8

Top Topics

Differential Privacy

Markov Chain Monte Carlo

Joint Distribution

Top Venues

Publications

Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
On Connecting Stochastic Gradient MCMC and Differential Privacy. AISTATS (2019)
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. AAAI (2018)
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions. CoRR (2017)
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR (2017)
Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
On Connecting Stochastic Gradient MCMC and Differential Privacy. CoRR (2017)
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS (2017)
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
Triangle Generative Adversarial Networks. CoRR (2017)
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
Triangle Generative Adversarial Networks. NIPS (2017)