Eric Zhao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Complexity Measures

Reward Function

Learning Problems

Top Venues

Publications

Naman Agarwal, Pranjal Awasthi, Satyen Kale, Eric Zhao
Stacking as Accelerated Gradient Descent. CoRR (2024)
Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao
Truthfulness of Calibration Measures. CoRR (2024)
Pranjal Awasthi, Nika Haghtalab, Eric Zhao
Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes. COLT (2023)
Nika Haghtalab, Michael I. Jordan, Eric Zhao
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning. NeurIPS (2023)
Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. AAAI (2023)
Pranjal Awasthi, Nika Haghtalab, Eric Zhao
The Sample Complexity of Multi-Distribution Learning for VC Classes. CoRR (2023)
Nika Haghtalab, Michael I. Jordan, Eric Zhao
A Unifying Perspective on Multi-Calibration: Unleashing Game Dynamics for Multi-Objective Learning. CoRR (2023)
Nika Haghtalab, Michael I. Jordan, Eric Zhao
On-Demand Sampling: Learning Optimally from Multiple Distributions. NeurIPS (2022)
Nika Haghtalab, Michael I. Jordan, Eric Zhao
On-Demand Sampling: Learning Optimally from Multiple Distributions. CoRR (2022)
Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations. CoRR (2021)