| 2025 | ICLR | Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse. | Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler, Berk Ustun |
| 2025 | ICLR | Regretful Decisions under Label Noise. | Sujay Nagaraj, Yang Liu, Flvio P. Calmon, Berk Ustun |
| 2025 | ICLR | Learning under Temporal Label Noise. | Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen |
| 2025 | ICLR | Concept Bottleneck Large Language Models. | Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng |
| 2025 | ICML | Selective Preference Aggregation. | Shreyas Kadekodi, Hayden McTavish, Berk Ustun |
| 2025 | ICML | Understanding Fixed Predictions via Confined Regions. | Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell |
| 2024 | AAAI | Providing Fair Recourse over Plausible Groups. | Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu |
| 2024 | ICLR | Classification with Conceptual Safeguards. | Hailey Joren, Charles T. Marx, Berk Ustun |
| 2024 | ICLR | Prediction without Preclusion: Recourse Verification with Reachable Sets. | Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun |
| 2023 | AAAI | Predictive Multiplicity in Probabilistic Classification. | Jamelle Watson-Daniels, David C. Parkes, Berk Ustun |
| 2023 | ICML | When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction. | Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun |
| 2022 | CIKM | Rank List Sensitivity of Recommender Systems to Interaction Perturbations. | Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar |
| 2020 | ICML | Predictive Multiplicity in Classification. | Charles T. Marx, Flvio P. Calmon, Berk Ustun |
| 2019 | ICML | Fairness without Harm: Decoupled Classifiers with Preference Guarantees. | Berk Ustun, Yang Liu, David C. Parkes |
| 2019 | ICML | Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. | Hao Wang, Berk Ustun, Flvio P. Calmon |
| 2018 | ISIT | On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. | Hao Wang, Berk Ustun, Flvio P. Calmon |
| 2017 | KDD | Optimized Risk Scores. | Berk Ustun, Cynthia Rudin |
| 2013 | AAAI | Supersparse Linear Integer Models for Predictive Scoring Systems. | Berk Ustun, Stefano Trac, Cynthia Rudin |