Michael R. Kosorok

33 papers A* 1Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Provable Offline Reinforcement Learning for Structured Cyclic MDPs.
CoRR
Kyungbok Lee, Angelica Cristello Sarteau, Michael R. Kosorok
2024 J jnl
Deep doubly robust outcome weighted learning.
Mach. Learn.
Xiaotong Jiang, Xin Zhou, Michael R. Kosorok
2024 J jnl
Neural interval-censored survival regression with feature selection.
Stat. Anal. Data Min.
Carlos García-Meixide, Marcos Matabuena, Louis Abraham, Michael R. Kosorok
2024 J jnl
Off-Policy Reinforcement Learning with High Dimensional Reward.
CoRR
Dong Neuck Lee, Michael R. Kosorok
2024 J jnl
Shapley Marginal Surplus for Strong Models.
CoRR
Daniel de Marchi, Michael R. Kosorok, Scott de Marchi
2024 J jnl
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review.
Netw. Model. Anal. Health Informatics Bioinform.
Fei Yu, Helal El-Zaatari, Michael R. Kosorok, Andrea Carnegie, Gaurav Dave
2024 J jnl
Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis.
Health Informatics J.
Alissa Hutto, Tarek M. Zikry, Buck Bohac, Terra Rose, Jasmine Staebler, Janet Slay, C. Ray Cheever, Michael R. Kosorok, Rebekah P. Nash
2023 J jnl
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning.
CoRR
Joshua P. Zitovsky, Leslie Wilson, Michael R. Kosorok
2023 J jnl
A Robust Hypothesis Test for Tree Ensemble Pruning.
CoRR
Daniel de Marchi, Matthew Welch, Michael R. Kosorok
2023 J jnl
Revisiting Bellman Errors for Offline Model Selection.
CoRR
Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael R. Kosorok
2023 J jnl
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs).
CoRR
Helal El-Zaatari, Fei Yu, Michael R. Kosorok
2022 J jnl
Interval Censored Recursive Forests.
J. Comput. Graph. Stat.
Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok
2022 J jnl
Neural interval-censored Cox regression with feature selection.
CoRR
Carlos García-Meixide, Marcos Matabuena, Michael R. Kosorok
2022 J jnl
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.
CoRR
Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
2022 J jnl
Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks.
IEEE J. Biomed. Health Informatics
Teeranan Pokaprakarn, Rebecca Kitzmiller, J. Randall Moorman, Douglas E. Lake, Ashok Kumar Krishnamurthy, Michael R. Kosorok
2021 J jnl
Estimation and Optimization of Composite Outcomes.
J. Mach. Learn. Res.
Daniel J. Luckett, Eric B. Laber, Siyeon Kim, Michael R. Kosorok
2021 J jnl
Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion.
J. Comput. Graph. Stat.
Jingxiang Chen, Quoc Tran-Dinh, Michael R. Kosorok, Yufeng Liu
2020 J jnl
Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network.
BMC Bioinform.
Akram Yazdani, Raul Mendez-Giraldez, Azam Yazdani, Michael R. Kosorok, Panos Roussos
2020 J jnl
Estimating heterogeneous treatment effects with right-censored data via causal survival forests.
CoRR
Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu
2020 A* conf
Kernel Assisted Learning for Personalized Dose Finding.
KDD
Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song
2020 J jnl
Missing Data Imputation for Classification Problems.
CoRR
Arkopal Choudhury, Michael R. Kosorok
2020 J jnl
Technical Background for "A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis".
CoRR
Xiaotong Jiang, Amanda E. Nelson, Rebecca J. Cleveland, Daniel P. Beavers, Todd A. Schwartz, Liubov Arbeeva, Carolina Alvarez, Leigh F. Callahan, Stephen Messier, Richard Loeser, Michael R. Kosorok
2020 J jnl
The future of precision health is data-driven decision support.
Stat. Anal. Data Min.
John Sperger, Nikki L. B. Freeman, Xiaotong Jiang, David Bang, Daniel de Marchi, Michael R. Kosorok
2019 J jnl
Estimating Individualized Treatment Regimes from Crossover Designs.
CoRR
Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt-Metz, Jaimie N. Davis, Michael R. Kosorok
2019 J jnl
High dimensional precision medicine from patient-derived xenografts.
CoRR
Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen, Michael T. Lawson, Longshaokan Wang, Yunshu Zhang, Eric B. Laber, Yufeng Liu, Jen Jen Yeh, Donglin Zeng, Michael R. Kosorok
2019 — conf
In and out of the nucleus: CNN based segmentation of cell nuclei from images of a translocating sensor.
PEARC
Tarek M. Zikry, Katarzyna M. Kedziora, Michael R. Kosorok, Jeremy E. Purvis
2018 J jnl
Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example.
Comput. Stat. Data Anal.
Sebastian J. Teran Hidalgo, Michael C. Wu, Stephanie M. Engel, Michael R. Kosorok
2018 J jnl
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines.
CoRR
Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok
2016 — ch.
A Master Pipeline for Discovery and Validation of Biomarkers.
Machine Learning for Health Informatics
Sebastian J. Teran Hidalgo, Michael T. Lawson, Daniel J. Luckett, Monica Chaudhari, Jingxiang Chen, Arkopal Choudhury, Arianna Di Florio, Xiaotong Jiang, Crystal T. Nguyen, Michael R. Kosorok
2016 J jnl
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data.
Stat. Anal. Data Min.
Guanhua Chen, Yufeng Liu, Dinggang Shen, Michael R. Kosorok
2010 J jnl
Detection of gene pathways with predictive power for breast cancer prognosis.
BMC Bioinform.
Shuangge Ma, Michael R. Kosorok
2009 J jnl
Identification of differential gene pathways with principal component analysis.
Bioinform.
Shuangge Ma, Michael R. Kosorok
2009 J jnl
The penalized profile sampler.
J. Multivar. Anal.
Guang Cheng, Michael R. Kosorok