Rui Song

Deep spectral Q-learning with application to mobile health

STAT, 12(1).

On Learning and Testing of Counterfactual Fairness through Data Preprocessing

Chen, H., Lu, W., Song, R., & Ghosh, P. (2023, April 12). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 4.

A Probit Tensor Factorization Model For Relational Learning

Liu, Y., Song, R., Lu, W., & Xiao, Y. (2022, March 10). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 3.

Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework

Shi, C., Wang, X., Luo, S., Zhu, H., Ye, J., & Song, R. (2022, March 12). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 3.

Learning a deep dual-level network for robust DeepFake detection

PATTERN RECOGNITION, 130.

Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process

Shi, C., Zhu, J., Ye, S., Luo, S., Zhu, H., & Song, R. (2022, October 3). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 10.

Rule mining over knowledge graphs via reinforcement learning

KNOWLEDGE-BASED SYSTEMS, 242.

Statistical Learning for Individualized Asset Allocation

Ding, Y., Li, Y., & Song, R. (2022, November 18). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 11.

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons

Shi, C., Luo, S., Le, Y., Zhu, H., & Song, R. (2022, September 22). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 9.

Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes

Zhou, Y., Wang, L., Song, R., & Zhao, T. (2022, June 28). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 6.

Concordance and Value Information Criteria for Optimal Treatment Decision

Annals of Statistics, 49(1), 49–75.

GEAR: On optimal decision making with auxiliary data

STAT, 10(1).

Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control

KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, pp. 1634–1644.

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime

Chen, X., Song, R., Zhang, J., Adams, S. A., Sun, L., & Lu, W. (2021, August 7). BIOMETRICS, Vol. 8.

Online Testing of Subgroup Treatment Effects Based on Value Difference

2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021), pp. 1463–1468.

Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 116(535), 1307–1318.

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

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 116(533), 240–255.

Statistical inference of the value function for reinforcement learning in infinite-horizon settings

Shi, C., Zhang, S., Lu, W., & Song, R. (2021, December 22). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, Vol. 12.

A New Framework for Online Testing of Heterogeneous Treatment Effect

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 34(6), 10310–10317.

A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(531), 1201–1213.

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

STATISTICS IN MEDICINE, 39(25), 3503–3520.

DHPA: Dynamic Human Preference Analytics Framework— A Case Study on Taxi Drivers' Learning Curve Analysis

ACM Transactions on Intelligent Systems and Technology, 11(1).

Doubly robust inference when combining probability and non-probability samples with high dimensional data

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1.

Testing and Estimation of Social Network Dependence With Time to Event Data

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(530), 570–582.

Determining the Number of Latent Factors in Statistical Multi-Relational Learning

Journal of Machine Learning Research, 20(23), 1–38.

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach

In Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 783–791).

ENTROPY LEARNING FOR DYNAMIC TREATMENT REGIMES

Jiang, B., Song, R., Li, J., Zeng, D., Lu, W., He, X., … Kallus, N. (2019, October). STATISTICA SINICA, Vol. 29, pp. 1633–1710.

LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS

ANNALS OF STATISTICS, 47(5), 2671–2703.

Modelling and estimation for optimal treatment decision with interference

Stat, 8(1).

ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS

ANNALS OF STATISTICS, 47(4), 2348–2377.

A Massive Data Framework for M-Estimators with Cubic-Rate

Journal of the American Statistical Association, 113(524), 1698–1709.

Deep advantage learning for optimal dynamic treatment regime

Statistical Theory and Related Fields, 2(1), 80–88.

Discussion of ’Optimal treatment allocations in space and time for on-line control of an emerging infectious disease’

[Review of Optimal treatment allocations in space and time for on-line control of an emerging infectious disease, by E. Laber, N. Meyer, B. Reich, K. Pacifici, J. Collazo, & J. Drake]. Journal of the Royal Statistical Society, Series C, 67(4), 775–776.

FSEM: Functional Structural Equation Models for Twin Functional Data

Journal of the American Statistical Association, 114(525), 344–357.

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES

ANNALS OF STATISTICS, 46(3), 925–957.

Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 80(4), 681–702.

Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes

Journal of the American Statistical Association, 114(527), 1404–1417.

Quantile-Optimal Treatment Regimes

Journal of the American Statistical Association, 113(523), 1243–1254.

Sparse concordance-assisted learning for optimal treatment decision

Journal of Machine Learning Research, 18.

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation

Journal of the American Statistical Association, 112(518), 769–778.

DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY

ANNALS OF APPLIED STATISTICS, 11(3), 1763–1786.

Discussion of ’Random Projection Ensemble Classification’

[Review of Random Projection Ensemble Classification, by T. Cannings & R. Samworth]. Journal of the Royal Statistical Society, Series B, 79(4), 1021.

Optimal treatment regimes for survival endpoints using locally-efficient doubly-robust estimator from a classification perspective

Lifetime Data Analysis, 23(4), 585–604.

Principal components adjusted variable screening

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 110, 134–144.

Semiparametric single-index model for estimating optimal individualized treatment strategy

ELECTRONIC JOURNAL OF STATISTICS, 11(1), 364–384.

Subgroup detection and sample size calculation with proportional hazards regression for survival data

Statistics in Medicine, 36(29), 4646–4659.

ASYMPTOTICS FOR CHANGE-POINT MODELS UNDER VARYING DEGREES OF MIS-SPECIFICATION

ANNALS OF STATISTICS, 44(1), 153–182.

Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times comment

Journal of the American Statistical Association, 111(515), 942–947.

Comment

Journal of the American Statistical Association, 111(515), 942–947.

Concordance-assisted learning for estimating optimal individualized treatment regimes

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(5), 1565–1582.

On estimation of optimal treatment regimes for maximizing t -year survival probability

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(4), 1165–1185.

Robust learning for optimal treatment decision with NP-dimensionality

ELECTRONIC JOURNAL OF STATISTICS, 10(2), 2894–2921.

SEQUENTIAL ADVANTAGE SELECTION FOR OPTIMAL TREATMENT REGIME

ANNALS OF APPLIED STATISTICS, 10(1), 32–53.

On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning

Stat, 4(1), 59–68.

Penalized q-learning for dynamic treatment regimens

Statistica Sinica, 25(3), 901–920.

Structured estimation for the nonparametric Cox model

ELECTRONIC JOURNAL OF STATISTICS, 9(1), 492–534.

Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy

Statistics in Medicine, 35(8), 1245–1256.

Censored rank independence screening for high-dimensional survival data

Biometrika, 101(4), 799–814.

Comment on "Dynamic treatment regimes: Technical challenges and applications"

Electronic Journal of Statistics, 8, 1290–1300.

Comment on ”Multiscale change point inference” by Frick, Munk and Sieling

[Review of Multiscale change point inference, by K. Frick, A. Munk, & H. Sieling]. Journal of the Royal Statistical Society, Series B, 76(3), 564.

Doubly robust learning for estimating individualized treatment with censored data

Biometrika, 102(1), 151–168.

On varying-coefficient independence screening for high-dimensional varying-coefficient models

Statistica Sinica, 24(4), 1735–1752.

Adaptive Q-learning

In M. Bannerjee, F. Bunea, J. Huang, V. Koltchinskii, & M. H. Maathuis (Eds.), From Probability to Statistics and Back: High-Dimensional Models and Processes (pp. 150–162). Beachwood, Ohio: Institute of Mathematical Statistics.

Integrative Prescreening in Analysis of Multiple Cancer Genomic Studies

BMC Bioinformatics, 13(168).

Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models

Journal of the American Statistical Association, 106(494), 544–557.

Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome

Biometrics, 67(1), 194–202.

Sure independence screening in generalized linear models with NP-dimensionality

The Annals of Statistics, 38(6), 3567–3604.

A note on semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome

Biometrika, 96(1), 221–228.

Cardiac Resynchronization Therapy Reduces the Risk of Hospitalizations in Patients With Advanced Heart Failure

Circulation, 119(7), 969–977.

Joint covariate-adjusted score test statistics for recurrent events and a terminal event

Lifetime Data Analysis, 16(4), 491–508.

On asymptotically optimal tests under loss of identifiability in semiparametric models

The Annals of Statistics, 37(5A), 2409–2444.

Proximate Cues for a Short-Distance Migratory Species: an Application of Survival Analysis

Journal of Wildlife Management, 72(2), 440–448.

What We Want versus What We Can Get: A Closer Look at Failure Time Endpoints for Cardiovascular Studies

Journal of Biopharmaceutical Statistics, 18(2), 370–381.

Inference under right censoring for transformation models with a change-point based on a covariate threshold

The Annals of Statistics, 35(3), 957–989.

Robust Covariate-Adjusted Log-Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data

Biometrics, 64(3), 741–750.