Chenlu Ye
According to our database1,
Chenlu Ye
authored at least 10 papers
between 2023 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2023
2024
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Bibliography
2024
A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference.
CoRR, 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
CoRR, 2023
CoRR, 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.
CoRR, 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2023