Wenbin Lu

verfied profile

∙ 0 followers
NC State University

Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space

We consider off-policy evaluation (OPE) in continuous action domains, su...
10/29/2020 ∙ by Hengrui Cai, et al. ∙ 0 ∙ share

read it
Statistical Inference for Online Decision Making via Stochastic Gradient Descent

Online decision making aims to learn the optimal decision rule by making...
10/14/2020 ∙ by Haoyu Chen, et al. ∙ 0 ∙ share

read it
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting

Online decision-making problem requires us to make a sequence of decisio...
10/14/2020 ∙ by Haoyu Chen, et al. ∙ 0 ∙ share

read it
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health

In this article, we propose novel structural nested models to estimate c...
07/19/2020 ∙ by Liangyu Zhu, et al. ∙ 0 ∙ share

read it
Kernel Assisted Learning for Personalized Dose Finding

An individualized dose rule recommends a dose level within a continuous ...
07/19/2020 ∙ by Liangyu Zhu, et al. ∙ 0 ∙ share

read it
A New Framework for Online Testing of Heterogeneous Treatment Effect

We propose a new framework for online testing of heterogeneous treatment...
02/09/2020 ∙ by Miao Yu, et al. ∙ 0 ∙ share

read it
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making

The Markov assumption (MA) is fundamental to the empirical validity of r...
02/05/2020 ∙ by Chengchun Shi, et al. ∙ 0 ∙ share

read it
Post-Lasso Inference for High-Dimensional Regression

Among the most popular variable selection procedures in high-dimensional...
06/16/2018 ∙ by X. Jessie Jeng, et al. ∙ 0 ∙ share

read it
MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model

Logistic linear mixed model is widely used in experimental designs and g...
11/13/2017 ∙ by Liuyi Hu, et al. ∙ 0 ∙ share

read it
Efficient Estimation for Dimension Reduction with Censored Data

We propose a general index model for survival data, which generalizes ma...
10/15/2017 ∙ by Ge Zhao, et al. ∙ 0 ∙ share

read it
Robust Learning for Optimal Treatment Decision with NP-Dimensionality

In order to identify important variables that are involved in making opt...
10/15/2015 ∙ by Chengchun Shi, et al. ∙ 0 ∙ share

read it
Sequential Advantage Selection for Optimal Treatment Regimes

Variable selection for optimal treatment regime in a clinical trial or a...
05/20/2014 ∙ by Ailin Fan, et al. ∙ 0 ∙ share

read it

Wenbin Lu

Featured Co-authors

Michael R. Kosorok

Rui Song

Hua Zhou

Jin Zhou

Haoyu Chen

Yanyuan Ma

X. Jessie Jeng

Miao Yu

Chengchun Shi

Huimin Peng

Ge Zhao

Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space

Statistical Inference for Online Decision Making via Stochastic Gradient Descent

Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting

Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health

Kernel Assisted Learning for Personalized Dose Finding

A New Framework for Online Testing of Heterogeneous Treatment Effect

Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making

Post-Lasso Inference for High-Dimensional Regression

MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model

Efficient Estimation for Dimension Reduction with Censored Data

Robust Learning for Optimal Treatment Decision with NP-Dimensionality

Sequential Advantage Selection for Optimal Treatment Regimes