2 citations · 3 across the 9 of their papers we have counts for
9 papers
SMART Fine-tuning Factor Augmented Neural Lasso
Jinhang Chai, Jianqing Fan, Cheng Gao +1
Fine-tuning is a widely used strategy for adapting pre-trained models to new tasks, yet its methodology and theoretical properties in high-dimensional nonparametric settings with v…
Optimal Semiparametric Dynamic Pricing with Feature Diversity
Jinhang Chai, Yaqi Duan, Jianqing Fan +1
We study contextual dynamic pricing under a semiparametric demand model in which the purchase probability is , where captures mean utility as…
Neural Generative Distributional Regression
Jinhang Chai, Jianqing Fan, Yihong Gu
Any continuous conditional distribution of given can be generated from a transform of a known noise distribution such as the uniform or normal distribution via $Y = g(X…
One-Step Bellman Alignment Enables Provably Efficient Transfer in Online RL
Elynn Chen, Enpei Zhang, Jinhang Chai +1
We study online transfer reinforcement learning (RL) in episodic Markov decision processes, where experience from related source tasks is available during learning on a target task…
Transfer Denoising of Low-Rank Plus Sparse Matrices under Ambient and Rank Growth
Jinhang Chai, Xuyuan Liu, Elynn Chen +1
We study transfer learning for low-rank plus sparse matrix denoising when both ambient and latent dimensions grow. A data-rich source task provides subspace information for a highe…
Transition Transfer -Learning for Composite Markov Decision Processes
Jinhang Chai, Elynn Chen, Lin Yang
To bridge the gap between empirical success and theoretical understanding in transfer reinforcement learning (RL), we study a principled approach with provable performance guarante…
Deep Transfer -Learning for Offline Non-Stationary Reinforcement Learning
Jinhang Chai, Elynn Chen, Jianqing Fan
In dynamic decision-making scenarios across business and healthcare, leveraging sample trajectories from diverse populations can significantly enhance reinforcement learning (RL) p…
Localized exploration in contextual dynamic pricing achieves dimension-free regret
Jinhang Chai, Yaqi Duan, Jianqing Fan +1
We study the problem of contextual dynamic pricing with a linear demand model. We propose a novel localized exploration-then-commit (LetC) algorithm which starts with a pure explor…
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
Jinhang Chai, Jianqing Fan
The problem of structured matrix estimation has been studied mostly under strong noise dependence assumptions. This paper considers a general framework of noisy low-rank-plus-spars…