Eric Zhao

Affiliations:
  • University of California Berkeley, CA, USA
  • Salesforce Research, Palo Alto, CA, USA


According to our database1, Eric Zhao authored at least 7 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The Sample Complexity of Multi-Distribution Learning for VC Classes.
CoRR, 2023

A Unifying Perspective on Multi-Calibration: Unleashing Game Dynamics for Multi-Objective Learning.
CoRR, 2023

A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Learning to Play General-Sum Games against Multiple Boundedly Rational Agents.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On-Demand Sampling: Learning Optimally from Multiple Distributions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations.
CoRR, 2021


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