Berk Ustun
Focus
Topics
Domains
Recent Work
Selective Preference Aggregation
Shreyas Kadekodi, Hayden McTavish, Berk Ustun
ICMLInternational Conference on Machine Learning 2025
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Understanding Fixed Predictions via Confined Regions
Connor Lawless, Lily Weng, Berk Ustun, Madeleine Udell
ICMLInternational Conference on Machine Learning 2025
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Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Harry Cheon, Anneke Wernerfelt, Sorelle Friedler, Berk Ustun
ICLRInternational Conference on Learning Representations 2025
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Regretful Decisions under Label Noise
Sujay Nagaraj, Yang Liu, Flavio Calmon, Berk Ustun
ICLRInternational Conference on Learning Representations 2025
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Learning with Temporal Label Noise
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
ICLRInternational Conference on Learning Representations 2025
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Concept Bottleneck Large Language Models
Chung-En Sun, Tuomas Oikarinen, Berk Ustun, Lily Weng
ICLRInternational Conference on Learning Representations 2025
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Discrimination Exposed? On the Reliability of Explanations for Discrimination Detection
Julian Skirzynski, David Danks, Berk Ustun
FAccTACM Conference on Fairness, Accountability, and Transparency 2025
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Statistical Inference for Responsiveness Verification
Harry Cheon, Meredith Stewart, Bogdan Kulynych, Lily Weng, Berk Ustun
Preprint2025
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Observational Multiplicity
Erin George, Deanna Needell, Berk Ustun
Preprint2025
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Explanations Are a Means to An End
Jessica Hullman, Ziyang Guo, Berk Ustun
Preprint2025
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Prediction without Preclusion: Recourse Verification with Reachable Sets
Avni Kothari, Bogdan Kulynych, Lily Weng, Berk Ustun
ICLRInternational Conference on Learning Representations 2024

Spotlight Paper at ICLR 2024

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Classification with Conceptual Safeguards
Hailey Joren, Charles T Marx, Berk Ustun
ICLRInternational Conference on Learning Representations 2024
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Operationalizing the Search for Less Discriminatory Alternatives in Fair Lending
Talia Gillis, Vitaly Mersault, Berk Ustun
FAccTACM Conference on Fairness, Accountability, and Transparency 2024
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Participatory Personalization in Classification
Hailey Joren, Chirag Nagpal, Katherine Heller, Berk Ustun
NeurIPSNeural Information Processing Systems 2023

Spotlight Paper at NeurIPS 2023

Oral Presentation at NeurIPS Workshop for Participatory Approaches for Mental Health

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When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
Vinith M. Suriyakumar, Marzyeh Ghassemi, Berk Ustun
ICMLInternational Conference on Machine Learning 2023

Oral Presentation at ICML 2023

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Machine Learning Methods
Stabilizing Recommendations by Rank-Preserving Fine-Tuning
Sejoon Oh, Berk Ustun, Julian McAuley, Srijan Kumar
TKDDACM Transactions on Knowledge Discovery from Data 2024
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Providing Fair Recourse over Plausible Groups
Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu
AAAIAssociation for the Advancement of Artificial Intelligence 2024
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Algorithmic Censoring in Dynamic Learning Systems
Jennifer Chien, Margaret Roberts, Berk Ustun
EAAMOACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization 2023
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Predictive Multiplicity in Probabilistic Classification
Jamelle Watson-Daniels, David Parkes, Berk Ustun
AAAIAssociation for Advancement in Artificial Intelligence 2023

Oral Presentation at AAAI 2023

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On the Epistemic Limits of Personalized Prediction
Lucas Monteiro Paes, Carol Long, Berk Ustun, Flavio Calmon
NeurIPSNeural Information Processing Systems 2022
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Rank List Sensitivity of Recommender Systems to Interaction Perturbations
Sejoon Oh, Berk Ustun, Julian McAuley, Srijan Kumar
CIKMConference on Information and Knowledge Management 2022
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Learning Optimal Predictive Checklists
Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi
NeurIPSNeural Information Processing Systems 2021

Spotlight Presentation at the ICML Workshop for Interpretable ML in Healthcare

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Predictive Multiplicity in Classification
Charles Marx, Flavio du Pin Calmon, Berk Ustun
ICMLInternational Conference on Machine Learning 2020

Oral Presentation at the NeurIPS Workshop for Human-Centric ML

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Learning Optimized Risk Scores
Berk Ustun, Cynthia Rudin
JMLRJournal of Machine Learning Research 2019

Accompanies Winning Entry for 2019 INFORMS Innovative Applications in Analytics Award

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Fairness without Harm: Decoupled Classifiers with Preference Guarantees
Berk Ustun, Yang Liu, David Parkes
ICMLInternational Conference on Machine Learning 2019
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Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
Hao Wang, Berk Ustun, Flavio du Pin Calmon
ICMLInternational Conference on Machine Learning 2019
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Actionable Recourse in Linear Classification
Berk Ustun, Alexander Spangher, Yang Liu
FAccTACM Conference on Fairness, Accountability and Transparency 2019
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The Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact
Hao Wang, Berk Ustun, Flavio du Pin Calmon
ISITIEEE International Symposium on Information Theory 2018
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Optimized Risk Scores
Berk Ustun, Cynthia Rudin
KDDKnowledge Discovery and Data Mining 2017

Winner of the 2017 INFORMS Computing Society Best Student Paper

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Supersparse Linear Integer Models for Optimized Medical Scoring Systems
Berk Ustun, Cynthia Rudin
MLJMachine Learning 2015

Accompanies Winning Entry for 2016 INFORMS Innovative Applications in Analytics Award

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Importance Sampling in Stochastic Programming: An MCMC Approach
Panos Parpas, Berk Ustun, Mort Webster, Quang Kha Tran
IJOCINFORMS Journal of Computing 2015
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Applications
Mapping Enhancer-Gene Regulatory Interactions from Single-Cell Data
Maya Sheth, Wei-Lin Qiu, Rosa Ma, Andreas Gschwind, Evelyn Jagoda, Anthony Tan, Hjörleifur Einarsson, Bram Gorissen, Danilo Dubocanin, Christopher McGinnis, Dulguun Amgalan, Ansuman Satpathy, Thouis Jones, Lars Steinmetz, Anshul Kundaje, Berk Ustun, Jesse Engreitz, Robin Andersson
Preprint2025
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An Encyclopedia of Enhancer-Gene Regulatory Interactions in the Human Genome
Andreas Gschwind, Kristy Mualim, Alireza Karbalayghareh, Maya Sheth, Kushal Dey, Evelyn Jagoda, Ramil Nurtdinov, Wang Xi, Anthony Tan, James Galante, Hank Jones, Rosa Ma, David Yao, Dulguun Amgalan, Judhajeet Ray, Chad Munger, Joseph Nasser, Ziga Avsec, Benjamin James, Muhammad Shamim, Neva Durand, Suhas Rao, Ragini Mahajan, Benjamin Doughty, Kalina Andreeva, Jacob Ulirsch, Kaili Fan, Elizabeth Perez, Tri Nguyen, David Kelley, Hilary Finucane, Jill Moore, Zhiping Weng, Manolis Kellis, Michael Bassik, Berk Ustun, Alkes Price, Michael Beer, Roderic Guigo, John Stamatoyannopoulos, Erez Lieberman Aiden, William Greenleaf, Christina Leslie, Lars Steinmetz, Anshul Kundaje, Jesse Engreitz
Preprint2025
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Guidance for Unbiased Predictive Information for Healthcare Decision-Making and Equity
David Kent, Keren Ladin, John Cuddeback, Obidiugwu Duru, Sharad Goel, William Harvey, Jinny Park, Jessica Paulus, Joyce Sackey, Richard Sharp, Ewout Steyerberg, Berk Ustun, David van Klaveren, Saul Weingart
NPJNature Digital Medicine 2024
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Optimized Risk Score to Predict Mortality in Patients with Cardiogenic Shock in the ICU
Eric Yamga, Sreekar Mantena, Darin Rosen, Emily Bucholz, Robert Yeh, Leo Celi, Berk Ustun, Neel Butala
JAHAJournal of the American Heart Association 2023
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Optimized Short-Forms of the Cognitive Distortions Questionnaire
Amanda Morrison, Berk Ustun, Arielle Horenstein, Simona Kaplan, Irismar Reis de Oliveira, Sedat Batmaz, James Gross, Ekaterina Sadikova, Curt Hemanny, Pedro Pires, Philippe Goldin, Ronald Kessler, Richard G. Heimberg
Journal of Anxiety Disorders 2022
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Developing an Optimal Short-Form of the PTSD Checklist for DSM-5
Kelly Zuromski, Berk Ustun, Irving Hwang, Terence Keane, Brian Marx, Murray Stein, Robert Ursano, Ronald Kessler
Depression and Anxiety 2019
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Optimized Scoring Systems: Towards Trust in ML for Healthcare and Criminal Justice
Cynthia Rudin, Berk Ustun
Interfaces 2018

Finalist for the 2017 Wagner Prize for Excellence in Operations Research Practice

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The World Health Organization Adult ADHD Self-Report Scale Screening Scale for DSM-5
Berk Ustun, Lenard Adler, Cynthia Rudin, Stephen Faraone, Thomas Spencer, Patricia Berglund, Michael Gruber, Ronald Kessler
JAMA Psychiatry 2017
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Association of an EEG-Based Risk Score With Seizure Probability in Hospitalized Patients
Aaron Struck, Berk Ustun, Andres Rodriguez Ruiz, Jong Woo Lee, Suzette LaRoche, Lawrence J. Hirsch, Emily J. Gilmore, Jan Vlachy, Hiba Arif Haider, Cynthia Rudin, M. Brandon Westover
JAMA Neurology 2017

Accompanies Winning Entry for 2019 INFORMS Innovative Applications in Analytics Award

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Interpretable Classification Models for Recidivism Prediction
Jiaming Zeng, Berk Ustun, Cynthia Rudin
JRSSJournal of the Royal Statistical Society: Series A 2016

Winner of the 2016 USRESP Competition

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Clinical Prediction Models for Sleep Apnea: Superiority of Medical History over Symptoms
Berk Ustun, M. Brandon Westover, Cynthia Rudin, Matt Bianchi
JCSMJournal of Clinical Sleep Medicine 2016
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Theses
Simple Linear Classifiers via Discrete Optimization
Berk Ustun
PhD thesis. Massachusetts Institute of Technology 2017
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The MCMC Approach to Importance Sampling in Stochastic Programming
Berk Ustun
Master's thesis. Massachusetts Institute of Technology 2012
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