publications

working papers and publications in reversed chronological order.

2023

  1. COLT 2023
    Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes
    Pranjal Awasthi, Nika Haghtalab, and Eric Zhao* Alphabetically ordered author names.
    In Proceedings of the 36th Annual Conference on Learning Theory. (COLT 2023)
    Jul 2023
  2. Neurips 2023
    A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
    Nika Haghtalab, Michael Jordan, and Eric Zhao* Alphabetically ordered author names.
    In Proceedings of the 37th Annual Conference on Neural Information Processing Systems. (Neurips 2023)
    Feb 2023

2022

  1. Neurips 2022
    On-Demand Sampling: Learning Optimally from Multiple Distributions
    Nika Haghtalab, Michael Jordan, and Eric Zhao* Alphabetically ordered author names.
    In Proceedings of the 36th Annual Conference on Neural Information Processing Systems. (Neurips 2022)
    May 2022
    Outstanding Paper Award (Top 0.5% of accepted papers).
  2. Scaling Bias Mitigation with Multiple Fairness Tasks and Multiple Protected Attributes
    Eric Zhao, De-An Huang, Hao Liu, Zhiding Yu, Anqi Liu, Olga Russakovsky, and Anima Anandkumar
    Working paper, last update: May 2022. (Preprint)
    May 2022

2021

  1. Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents
    Eric Zhao, Alexander R. Trott, Caiming Xiong, and Stephan Zheng
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence. (AAAI 2023)
    Jun 2021
  2. Active Learning under Label Shift
    Eric Zhao, Anqi Liu, Animashree Anandkumar, and Yisong Yue
    In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics. (AISTATS 2021)
    Feb 2021