导读：首先感谢北京智源大会进行主题演讲的各领域顶级教授，博主受益匪浅，此文章为博主在聆听各领域教授或专家演讲时，一张一张截图进行保存，希望与大家一起学习，共同进步，一起见证或筑起人工智能的下一个十年。非常欢迎国内外人工智能领域网友，前来留言探讨与分享，同时感谢点赞或评论！
目录
10:40-11:10 Near-Optimal Reinforcement Learning with Self-Play
10:40-11:10 Near-Optimal Reinforcement Learning with Self-Play
- 金驰 Princeton University
11:10-11:40 How Private Are Private Algorithms?
- 苏炜杰 University of Pennsylvania
11:40-12:10 Conformal Inference of Counterfactuals and Individual Treatment Effects
- 雷理骅 Stanford University
12:10-12:40 Shape Matters: Understanding the Implicit Bias of the Noise Covariance
- 马腾宇 Stanford University
12:40-12:50 Closing Speech
- 朱军 Professor, Computer Science Department, Tsinghua University
