Nonlinear Invariant Risk Minimization: A Causal Approach
Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf.

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Chaochao Lu*, Biwei Huang*, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf.
in Proceedings of Neural Information Processing Systems Workshop on Offline Reinforcement Learning, Virtually, 2020

Interpreting Spatially Infinite Generative Models
Chaochao Lu, Richard Turner, Yingzhen Li, Nate Kushman.
in Proceedings of ICML Workshop on Human Interpretability in Machine Learning (WHI), Virtually, 2020
[Paper] [Video][Generated High-Resolution Samples]

Deconfounding Reinforcement Learning in Observational Settings
Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato.
arXiv preprint arXiv:1812.10576 

Flexible Spatio-Temporal Networks for Video Prediction
Chaochao Lu, Michael Hirsch, Bernhard Schölkopf.
in Proceedings of IEEE Computer Society Conference on Computer Vision and Patter Recognition (CVPR), Honolulu, Hawaii, USA, 2017 

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace
Chaochao Lu, Xiaoou Tang.
in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015 
Outstanding Student Paper Award
For the first time, the human-level performance in face verification on LFW is surpassed. 
[Paper] [Supplementary] Selected News: [Science News] [Nature News] [Discover] [The Register] [Physics arXiv Blog]
[Tech Xplore] [Technology] [Rootnotion] [I Programmer]

Learning the Face Prior for Bayesian Face Recognition
Chaochao Lu, Xiaoou Tang.
in Proceedings of European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014 
[Paper] [Poster] [Video]

Face Recognition Using Face Patch Networks
Chaochao Lu, Deli Zhao, Xiaoou Tang.
in Proceedings of IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013 
[Paper] [Poster]