Berk Ustun
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Supersparse Linear Integer Models for Optimized Medical Scoring Systems
B Ustun, C Rudin
Machine Learning 102 (3), 349-391, 2015
Interpretable Classification Models for Recidivism Prediction
J Zeng, B Ustun, C Rudin
Journal of the Royal Statistical Society: Series A, 2016
Actionable Recourse in Linear Classification
B Ustun, A Spangher, Y Liu
ACM Conference on Fairness, Accountability, and Transparency (FAT*’19), 2019
The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5
B Ustun, LA Adler, C Rudin, SV Faraone, TJ Spencer, P Berglund, ...
JAMA Psychiatry 74 (5), 520-526, 2017
Association of an Electroencephalography-Based Risk Score With Seizure Probability in Hospitalized Patients
AF Struck, B Ustun, AR Ruiz, JW Lee, SM LaRoche, LJ Hirsch, EJ Gilmore, ...
JAMA Neurology, 2017
Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms.
B Ustun, MB Westover, C Rudin, MT Bianchi
Journal of Clinical Sleep Medicine, 2015
Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice
C Rudin, B Ustun
Interfaces 48 (5), 449-466, 2018
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
B Ustun, Y Liu, D Parkes
International Conference on Machine Learning, 6373-6382, 2019
Optimized Risk Scores
B Ustun, C Rudin
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
H Wang, B Ustun, F Calmon
International Conference on Machine Learning 97, 6618--6627, 2019
Learning Optimized Risk Scores
B Ustun, C Rudin
Journal of Machine Learning Research 20 (150), 1-75, 2019
Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach
P Parpas, B Ustun, M Webster, QK Tran
INFORMS Journal of Computing 27 (2), 358 - 377, 2015
Developing an optimal short‐form of the PTSD Checklist for DSM‐5 (PCL‐5)
KL Zuromski, B Ustun, I Hwang, TM Keane, BP Marx, MB Stein, ...
Depression and Anxiety, 0
Predictive Multiplicity in Classification
CT Marx, FP Calmon, B Ustun
International Conference on Machine Learning, 2020
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning
H Wang, B Ustun, FP Calmon
IEEE International Symposium on Information Theory (ISIT), 126--130, 2018
The Markov Chain Monte Carlo Approach to Importance Sampling in Stochastic Programming
B Ustun
Massachusetts Institute of Technology, 2012
Development and Validation of a Model to Predict Posttraumatic Stress Disorder and Major Depression After a Motor Vehicle Collision
HN Ziobrowski, CJ Kennedy, B Ustun, SL House, FL Beaudoin, X An, ...
JAMA psychiatry, 2021
Simple Linear Classifiers via Discrete Optimization
B Ustun
Massachusetts Institute of Technology, 2017
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