25 citations · 30 across the 8 of their papers we have counts for
9 papers
A Principled Path to Fitted Distributional Evaluation
Sungee Hong, Jiayi Wang, Zhengling Qi +1
In reinforcement learning, distributional off-policy evaluation (OPE) focuses on estimating the return distribution of a target policy using offline data collected under a differen…
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
In this paper, we delve into the statistical analysis of the fitted Q-evaluation (FQE) method, which focuses on estimating the value of a target policy using offline data generated…
Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural Networks
Hojun You, Jiayi Wang, Raymond K. W. Wong +3
The prediction of tropical rain rates from atmospheric profiles poses significant challenges, mainly due to the heavy-tailed distribution exhibited by tropical rainfall. This study…
Flexible Functional Treatment Effect Estimation
Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang +1
We study treatment effect estimation with functional treatments where the average potential outcome functional is a function of functions, in contrast to continuous treatment effec…
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments
Jiayi Wang, Zhengling Qi, Chengchun Shi
As AI becomes more prevalent throughout society, effective methods of integrating humans and AI systems that leverage their respective strengths and mitigate risk have become an im…
Projected State-action Balancing Weights for Offline Reinforcement Learning
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
Offline policy evaluation (OPE) is considered a fundamental and challenging problem in reinforcement learning (RL). This paper focuses on the value estimation of a target policy ba…
Matrix Completion with Model-free Weighting
Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao +1
In this paper, we propose a novel method for matrix completion under general non-uniform missing structures. By controlling an upper bound of a novel balancing error, we construct…
Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing
Jiayi Wang, Raymond K. W. Wong, Shu Yang +1
We study nonparametric estimation for the partially conditional average treatment effect, defined as the treatment effect function over an interested subset of confounders. We prop…
Low-Rank Covariance Function Estimation for Multidimensional Functional Data
Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang
Multidimensional function data arise from many fields nowadays. The covariance function plays an important role in the analysis of such increasingly common data. In this paper, we…