Haoxian Chen

According to our database, Haoxian Chen authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning.

Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang

CoRR, 2024

Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions.

Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang

CoRR, 2024

2023

Pseudo-Bayesian Optimization.

Haoxian Chen, Henry Lam

CoRR, 2023

2022

From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers.

Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamás Sarlós, Adrian Weller, Thomas Weingarten

Proceedings of the International Conference on Machine Learning, 2022

Hybrid Random Features.

Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Graph Kernel Attention Transformers.

Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder

CoRR, 2021

Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set.

Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko

CoRR, 2021

Learning Prediction Intervals for Regression: Generalization and Calibration.

Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Demystifying Orthogonal Monte Carlo and Beyond.

Han Lin, Haoxian Chen, Krzysztof Marcin Choromanski, Tianyi Zhang, Clement Laroche

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Constrained Reinforcement Learning via Policy Splitting.

Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami

Proceedings of The 12th Asian Conference on Machine Learning, 2020