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Berk Ustun

Regretful Decisions under Label Noise

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Apr 12, 2025
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Understanding Fixed Predictions via Confined Regions

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Feb 22, 2025
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Concept Bottleneck Large Language Models

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Dec 11, 2024
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Classification with Conceptual Safeguards

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Nov 07, 2024
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Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse

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Oct 29, 2024
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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

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Mar 03, 2024
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Predictive Churn with the Set of Good Models

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Feb 12, 2024
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Learning from Time Series under Temporal Label Noise

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Feb 06, 2024
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FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

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Feb 05, 2024
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Prediction without Preclusion: Recourse Verification with Reachable Sets

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Aug 24, 2023
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