Berk Ustun

Berk Ustun

University of California, San Diego

H-index: 15

North America-United States

About Berk Ustun

Berk Ustun, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Machine Learning, Optimization, Interpretability, Algorithmic Fairness, Medicine.

His recent articles reflect a diverse array of research interests and contributions to the field:

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

Providing Fair Recourse over Plausible Groups

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Predictive Churn with the Set of Good Models

Learning from Time Series under Temporal Label Noise

Prediction without Preclusion: Recourse Verification with Reachable Sets

Optimized risk score to predict mortality in patients with cardiogenic shock in the cardiac intensive care unit

Participatory Personalization in Classification

Berk Ustun Information

University

Position

Google AI /

Citations(all)

2693

Citations(since 2020)

2355

Cited By

1047

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

18

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Berk Ustun Skills & Research Interests

Machine Learning

Optimization

Interpretability

Algorithmic Fairness

Medicine

Top articles of Berk Ustun

Title

Journal

Author(s)

Publication Date

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

arXiv preprint arXiv:2402.03481

Sejoon Oh

Berk Ustun

Julian McAuley

Srijan Kumar

2024/2/5

Providing Fair Recourse over Plausible Groups

Proceedings of the AAAI Conference on Artificial Intelligence

Jayanth Yetukuri

Ian Hardy

Yevgeniy Vorobeychik

Berk Ustun

Yang Liu

2024/3/24

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Stefan Hegselmann

Helen Zhou

Yuyin Zhou

Jennifer Chien

Sujay Nagaraj

...

2023/5

Predictive Churn with the Set of Good Models

arXiv preprint arXiv:2402.07745

Jamelle Watson-Daniels

Flavio du Pin Calmon

Alexander D'Amour

Carol Long

David C Parkes

...

2024/2/12

Learning from Time Series under Temporal Label Noise

arXiv preprint arXiv:2402.04398

Sujay Nagaraj

Walter Gerych

Sana Tonekaboni

Anna Goldenberg

Berk Ustun

...

2024/2/6

Prediction without Preclusion: Recourse Verification with Reachable Sets

arXiv preprint arXiv:2308.12820

Avni Kothari

Bogdan Kulynych

Tsui-Wei Weng

Berk Ustun

2023/8/24

Optimized risk score to predict mortality in patients with cardiogenic shock in the cardiac intensive care unit

Journal of the American Heart Association

Eric Yamga

Sreekar Mantena

Darin Rosen

Emily M Bucholz

Robert W Yeh

...

2023/7/4

Participatory Personalization in Classification

Hailey James

Chirag Nagpal

Katherine A Heller

Berk Ustun

2023/11/2

Predictive multiplicity in probabilistic classification

Proceedings of the AAAI Conference on Artificial Intelligence

Jamelle Watson-Daniels

David C Parkes

Berk Ustun

2023/6/26

Algorithmic Censoring in Dynamic Learning Systems

Jennifer Chien

Margaret Roberts

Berk Ustun

2023/10/30

When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction

Vinith Menon Suriyakumar

Marzyeh Ghassemi

Berk Ustun

2023/4/24

Classification with Conceptual Safeguards

Hailey Joren

Charles Thomas Marx

Berk Ustun

2023/10/13

Learning with Temporal Label Noise

Sujay Nagaraj

Walter Gerych

Sana Tonekaboni

Anna Goldenberg

Berk Ustun

...

2023/10/13

Optimized Short-Forms of the Cognitive Distortions Questionnaire

Journal of Anxiety Disorders

Amanda S Morrison

Berk Ustun

Arielle Horenstein

Simona C Kaplan

Irismar Reis de Oliveira

...

2022/12/1

On the Epistemic Limits of Personalized Prediction

Advances in Neural Information Processing Systems

Lucas Monteiro Paes

Carol Long

Berk Ustun

Flavio Calmon

2022/12/6

Rank List Sensitivity of Recommender Systems to Interaction Perturbations

arXiv preprint arXiv:2201.12686

Sejoon Oh

Berk Ustun

Julian McAuley

Srijan Kumar

2022/8/1

Learning Optimal Predictive Checklists

Advances in Neural Information Processing Systems

Haoran Zhang

Quaid Morris

Berk Ustun

Marzyeh Ghassemi

2021/12/6

Development and validation of a model to predict posttraumatic stress disorder and major depression after a motor vehicle collision

JAMA psychiatry

Hannah N Ziobrowski

Chris J Kennedy

Berk Ustun

Stacey L House

Francesca L Beaudoin

...

2021/11/1

Predictive Multiplicity in Classification

Charles Marx

Flavio Calmon

Berk Ustun

2020/11/21

See List of Professors in Berk Ustun University(University of California, San Diego)

Co-Authors

H-index: 334
Ronald C Kessler

Ronald C Kessler

Harvard University

H-index: 73
David C. Parkes

David C. Parkes

Harvard University

H-index: 67
Leo Anthony Celi

Leo Anthony Celi

Massachusetts Institute of Technology

H-index: 61
M. Brandon Westover, MD, PhD

M. Brandon Westover, MD, PhD

Harvard University

H-index: 61
Julian McAuley

Julian McAuley

University of California, San Diego

H-index: 56
Cynthia Rudin

Cynthia Rudin

Duke University

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