8 citations · 18 across the 16 of their papers we have counts for
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stat.ML2024
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate
Fengpei Li, Haoxian Chen, Jiahe Lin +7
For many complex simulation tasks spanning areas such as healthcare, engineering, and finance, Monte Carlo (MC) methods are invaluable due to their unbiased estimates and precise e…
cs.LG2024
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
Hanyang Zhao, Haoxian Chen, Ji Zhang +2
Reinforcement Learning from human feedback (RLHF) has been shown a promising direction for aligning generative models with human intent and has also been explored in recent works f…
cs.LG2024★ 2 cited
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
Haoxian Chen, Hanyang Zhao, Henry Lam +2
Direct Preference Optimization (DPO) has recently emerged as a popular approach to improve reinforcement learning with human feedback (RLHF), leading to better techniques to fine-t…