Rui Song

44 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-1875-2115

Publications

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons — Journal of the American Statistical Association 2024
On Learning and Testing of Counterfactual Fairness through Data Preprocessing — Journal of the American Statistical Association 2024
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process — Journal of the American Statistical Association 2024
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning — Journal of the American Statistical Association 2024
Statistical Learning for Individualized Asset Allocation — Journal of the American Statistical Association 2024
Reinforcement Learning in Latent Heterogeneous Environments — Journal of the American Statistical Association 2024
A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets — The Annals of Applied Statistics 2023
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes — Journal of the American Statistical Association 2023
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework — Journal of the American Statistical Association 2023
Distributed Community Detection in Large Networks — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
Statistical inference of the value function for reinforcement learning in infinite-horizon settings — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation — Journal of the American Statistical Association 2021
Concordance and value information criteria for optimal treatment decision — The Annals of Statistics 2021
Statistical Inference for Online Decision Making via Stochastic Gradient Descent — Journal of the American Statistical Association 2021 (name-matched, not ORCID-linked)
Statistical Inference for Online Decision Making: In a Contextual Bandit Setting — Journal of the American Statistical Association 2021
An Online Sequential Test for Qualitative Treatment Effects — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
Testing and Estimation of Social Network Dependence With Time to Event Data — Journal of the American Statistical Association 2020
Doubly robust inference when combining probability and non-probability samples with high dimensional data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects — Journal of the American Statistical Association 2020
Linear hypothesis testing for high dimensional generalized linear models — The Annals of Statistics 2019
Determining the Number of Latent Factors in Statistical Multi-Relational Learning — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes — Journal of the American Statistical Association 2019
FSEM: Functional Structural Equation Models for Twin Functional Data — Journal of the American Statistical Association 2019
On testing conditional qualitative treatment effects — The Annals of Statistics 2019
A Massive Data Framework for M-Estimators with Cubic-Rate — Journal of the American Statistical Association 2018
Quantile-Optimal Treatment Regimes — Journal of the American Statistical Association 2018
Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
High-dimensional $A$-learning for optimal dynamic treatment regimes — The Annals of Statistics 2018
Concordance-assisted learning for estimating optimal individualized treatment regimes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
Change-Plane Analysis for Subgroup Detection and Sample Size Calculation — Journal of the American Statistical Association 2017
On estimation of optimal treatment regimes for maximizingt-year survival probability — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
Sparse Concordance-assisted Learning for Optimal Treatment Decision — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
Doubly robust estimation of optimal treatment regimes for survival data—with application to an HIV/AIDS study — The Annals of Applied Statistics 2017
Comment — Journal of the American Statistical Association 2016
Asymptotics for change-point models under varying degrees of mis-specification — The Annals of Statistics 2016
Sequential advantage selection for optimal treatment regime — The Annals of Applied Statistics 2016
Doubly robust learning for estimating individualized treatment with censored data — Biometrika 2015
Censored rank independence screening for high-dimensional survival data — Biometrika 2014
Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models — Journal of the American Statistical Association 2011
Sure independence screening in generalized linear models with NP-dimensionality — The Annals of Statistics 2010
A note on semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome — Biometrika 2009
Inference under right censoring for transformation models with a change-point based on a covariate threshold — The Annals of Statistics 2007