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Chaochao Lu
Chaochao Lu
PhD Student, University of Cambridge, Max Planck Institute for Intelligent Systems
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Surpassing human-level face verification performance on LFW with GaussianFace
C Lu, X Tang
in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015
3872015
Flexible Spatio-Temporal Networks for Video Prediction
C Lu, M Hirsch, B Schölkopf
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), 2017
962017
Deconfounding Reinforcement Learning in Observational Settings
C Lu, B Schölkopf, JM Hernández-Lobato
arXiv preprint arXiv:1812.10576, 2018
402018
Nonlinear Invariant Risk Minimization: A Causal Approach
C Lu, Y Wu, JM Hernández-Lobato, B Schölkopf
252021
Learning the Face Prior for Bayesian Face Recognition
C Lu, X Tang
in Proceedings of European Conference on Computer Vision (ECCV), 119-134, 2014
122014
Face Recognition Using Face Patch Networks
C Lu, D Zhao, X Tang
in Proceedings of IEEE International Conference on Computer Vision (ICCV …, 2013
112013
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
C Lu*, B Huang*, K Wang, JM Hernández-Lobato, K Zhang, B Schölkopf
in Proceedings of Neural Information Processing Systems Workshop on Offline …, 2020
102020
Invariant Causal Representation Learning for Out-of-Distribution Generalization
C Lu, Y Wu, JM Hernández-Lobato, B Schölkopf
International Conference on Learning Representations, 2021
92021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
B Huang, F Feng, C Lu, S Magliacane, K Zhang
International Conference on Learning Representations, 2021
62021
Interpreting Spatially Infinite Generative Models
C Lu, R Turner, Y Li, N Kushman
in Proceedings of ICML Workshop on Human Interpretability in Machine …, 2020
22020
Action-sufficient state representation learning for control with structural constraints
B Huang*, C Lu*, L Leqi, JM Hernández-Lobato, C Glymour, B Schölkopf, ...
International Conference on Machine Learning, 9260-9279, 2022
12022
Invariant Causal Representation Learning for Generalization in Imitation and Reinforcement Learning
C Lu, JM Hernández-Lobato, B Schölkopf
ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022
2022
Introduction to Causal Reinforcement Learning
C Lu
Blogpost at causallu.com, 2018
2018
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