Heyang Zhao

According to our database1, Heyang Zhao authored at least 11 papers between 2021 and 2024.

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Bibliography

2024
Feel-Good Thompson Sampling for Contextual Dueling Bandits.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation.
CoRR, 2023

Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2023

Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds.
CoRR, 2022

VinciDecoder: Automatically Interpreting Provenance Graphs into Textual Forensic Reports with Application to OpenStack.
Proceedings of the Secure IT Systems, 2022

ProvTalk: Towards Interpretable Multi-level Provenance Analysis in Networking Functions Virtualization (NFV).
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

2021
Linear Contextual Bandits with Adversarial Corruptions.
CoRR, 2021


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