Yifan Wu, PhD Student
I am a PhD student in the Machine Learning Department at Carnegie Mellon University. My advisor is Zachary Lipton. I finished my Master program in the Department of Computing Science at the University of Alberta working with Csaba Szepesvári and András György in 2016. I received my Bachelor's degree in Computer Science from Shanghai Jiao Tong University in 2013. Internships I did in the past: 08/2017-11/2017 at Google DeepMind, London; 05/2018-08/2018 and 05/2019-08/2019 at Google Brain, Mountain View.
Research Interests: Robustness, Distribution Shift, RL
Publications
Mixture Proportion Estimation and PU Learning: A Modern Approach
Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary Lipton
Advances in Neural Information Processing Systems (NeurIPS), 2021A Unified View of Label Shift Estimation
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary Lipton
Advances in Neural Information Processing Systems (NeurIPS), 2020Game Design for Eliciting Distinguishable Behavior
Fan Yang, Liu Leqi, Yifan Wu, Zachary Lipton, Pradeep Ravikumar, William Cohen, Tom Mitchell
Advances in Neural Information Processing Systems (NeurIPS), 2019Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu, Divyansh Kaushik, Ezra Winston, Zachary Lipton
International Conference on Machine Learning (ICML), 2019