Michael R. Kosorok

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 24

Top Topics

Receiver Operating Characteristic Curves

Random Graph Models

Biomedical Data

Gene Regulatory

Top Venues

Stat. Anal. Data Min.

J. Comput. Graph. Stat.

Publications

Fei Yu, Helal El-Zaatari, Michael R. Kosorok, Andrea Carnegie, Gaurav Dave
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review. Netw. Model. Anal. Health Informatics Bioinform. 13 (1) (2024)
Xiaotong Jiang, Xin Zhou, Michael R. Kosorok
Deep doubly robust outcome weighted learning. Mach. Learn. 113 (2) (2024)
Joshua P. Zitovsky, Leslie Wilson, Michael R. Kosorok
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning. CoRR (2023)
Helal El-Zaatari, Fei Yu, Michael R. Kosorok
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs). CoRR (2023)
Daniel de Marchi, Matthew Welch, Michael R. Kosorok
A Robust Hypothesis Test for Tree Ensemble Pruning. CoRR (2023)
Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael R. Kosorok
Revisiting Bellman Errors for Offline Model Selection. CoRR (2023)
Carlos García-Meixide, Marcos Matabuena, Michael R. Kosorok
Neural interval-censored Cox regression with feature selection. CoRR (2022)
Teeranan Pokaprakarn, Rebecca Kitzmiller, J. Randall Moorman, Douglas E. Lake, Ashok K. Krishnamurthy, Michael R. Kosorok
Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR (2022)
Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok
Interval Censored Recursive Forests. J. Comput. Graph. Stat. 31 (1) (2022)
Jingxiang Chen, Quoc Tran-Dinh, Michael R. Kosorok, Yufeng Liu
Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion. J. Comput. Graph. Stat. 30 (1) (2021)
Daniel J. Luckett, Eric B. Laber, Siyeon Kim, Michael R. Kosorok
Estimation and Optimization of Composite Outcomes. J. Mach. Learn. Res. 22 (2021)
Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu
Estimating heterogeneous treatment effects with right-censored data via causal survival forests. CoRR (2020)
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
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 (2020)
Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song
Kernel Assisted Learning for Personalized Dose Finding. KDD (2020)
Arkopal Choudhury, Michael R. Kosorok
Missing Data Imputation for Classification Problems. CoRR (2020)
Akram Yazdani, Raul Mendez-Giraldez, Azam Yazdani, Michael R. Kosorok, Panos Roussos
Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network. BMC Bioinform. 21 (1) (2020)
John Sperger, Nikki L. B. Freeman, Xiaotong Jiang, David Bang, Daniel de Marchi, Michael R. Kosorok
The future of precision health is data-driven decision support. Stat. Anal. Data Min. 13 (6) (2020)
Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt-Metz, Jaimie N. Davis, Michael R. Kosorok
Estimating Individualized Treatment Regimes from Crossover Designs. CoRR (2019)
Tarek M. Zikry, Katarzyna M. Kedziora, Michael R. Kosorok, Jeremy E. Purvis
In and out of the nucleus: CNN based segmentation of cell nuclei from images of a translocating sensor. PEARC (2019)
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
High dimensional precision medicine from patient-derived xenografts. CoRR (2019)
Sebastian J. Teran Hidalgo, Michael C. Wu, Stephanie M. Engel, Michael R. Kosorok
Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example. Comput. Stat. Data Anal. 122 (2018)
Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines. CoRR (2018)
Guanhua Chen, Yufeng Liu, Dinggang Shen, Michael R. Kosorok
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data. Stat. Anal. Data Min. 9 (2) (2016)
Shuangge Ma, Michael R. Kosorok
Detection of gene pathways with predictive power for breast cancer prognosis. BMC Bioinform. 11 (2010)
Shuangge Ma, Michael R. Kosorok
Identification of differential gene pathways with principal component analysis. Bioinform. 25 (7) (2009)
Guang Cheng, Michael R. Kosorok
The penalized profile sampler. J. Multivar. Anal. 100 (3) (2009)