Michael R. Kosorok

According to our database, Michael R. Kosorok authored at least 28 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review.

Fei Yu, Helal El-Zaatari, Michael R. Kosorok, Andrea Carnegie, Gaurav Dave

Netw. Model. Anal. Health Informatics Bioinform., December, 2024

Deep doubly robust outcome weighted learning.

Xiaotong Jiang, Xin Zhou, Michael R. Kosorok

Mach. Learn., February, 2024

2023

Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs).

Helal El-Zaatari, Fei Yu, Michael R. Kosorok

CoRR, 2023

A Flexible Framework for Incorporating Patient Preferences Into Q-Learning.

Joshua P. Zitovsky, Leslie Wilson, Michael R. Kosorok

CoRR, 2023

A Robust Hypothesis Test for Tree Ensemble Pruning.

Daniel de Marchi, Matthew Welch, Michael R. Kosorok

CoRR, 2023

Revisiting Bellman Errors for Offline Model Selection.

Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael Rene Kosorok

Proceedings of the International Conference on Machine Learning, 2023

2022

Interval Censored Recursive Forests.

Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok

J. Comput. Graph. Stat., January, 2022

Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks.

Teeranan Pokaprakarn, Rebecca Kitzmiller, J. Randall Moorman, Douglas E. Lake, Ashok Kumar Krishnamurthy, Michael R. Kosorok

IEEE J. Biomed. Health Informatics, 2022

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.

Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok

CoRR, 2022

Neural interval-censored Cox regression with feature selection.

Carlos García-Meixide, Marcos Matabuena, Michael R. Kosorok

CoRR, 2022

2021

Estimation and Optimization of Composite Outcomes.

Daniel J. Luckett, Eric B. Laber, Siyeon Kim, Michael R. Kosorok

J. Mach. Learn. Res., 2021

Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion.

Jingxiang Chen, Quoc Tran-Dinh, Michael R. Kosorok, Yufeng Liu

J. Comput. Graph. Stat., 2021

2020

The future of precision health is data-driven decision support.

John Sperger, Nikki L. B. Freeman, Xiaotong Jiang, David Bang, Daniel de Marchi, Michael R. Kosorok

Stat. Anal. Data Min., 2020

Missing Data Imputation for Classification Problems.

Arkopal Choudhury, Michael R. Kosorok

CoRR, 2020

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".

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

CoRR, 2020

Estimating heterogeneous treatment effects with right-censored data via causal survival forests.

Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu

CoRR, 2020

Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network.

Akram Yazdani, Raul Mendez-Giraldez, Azam Yazdani, Michael R. Kosorok, Panos Roussos

BMC Bioinform., 2020

Kernel Assisted Learning for Personalized Dose Finding.

Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

High dimensional precision medicine from patient-derived xenografts.

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

CoRR, 2019

Estimating Individualized Treatment Regimes from Crossover Designs.

Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt-Metz, Jaimie N. Davis, Michael R. Kosorok

CoRR, 2019

In and out of the nucleus: CNN based segmentation of cell nuclei from images of a translocating sensor.

Tarek M. Zikry, Katarzyna M. Kedziora, Michael R. Kosorok, Jeremy E. Purvis

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

2018

Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example.

Sebastian J. Teran Hidalgo, Michael C. Wu, Stephanie M. Engel, Michael R. Kosorok

Comput. Stat. Data Anal., 2018

Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines.

Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok

CoRR, 2018

2016

A Master Pipeline for Discovery and Validation of Biomarkers.

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

Proceedings of the Machine Learning for Health Informatics, 2016

Composite large margin classifiers with latent subclasses for heterogeneous biomedical data.

Guanhua Chen, Yufeng Liu, Dinggang Shen, Michael R. Kosorok

Stat. Anal. Data Min., 2016

2010

Detection of gene pathways with predictive power for breast cancer prognosis.

Shuangge Ma, Michael R. Kosorok

BMC Bioinform., 2010

2009

The penalized profile sampler.

Guang Cheng, Michael R. Kosorok

J. Multivar. Anal., 2009

Identification of differential gene pathways with principal component analysis.

Shuangge Ma, Michael R. Kosorok

Bioinform., 2009