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Berk Ustun

18 papers · 2019–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (19) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ† Keyword Champion (3) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (78) πŸ’Ž Century Club Β· Bronze

Venues

ICLR (6) ICML (6) NeurIPS (3) AAAI (2) JMLR (1)

Top co-authors

Flavio Calmon (4) Tsui-Wei Weng (3) Yang Liu (3) Marzyeh Ghassemi (2) Sujay Nagaraj (2) Hailey Joren (2) Madeleine Udell (1) Ian Hardy (1) David Parkes (1) Hayden McTavish (1)

Research topics

Machine Learning (16) Core Methods (11) Application Areas (10) Artificial Intelligence (7) Core AI (7) Optimization & Theory (5) Learning Types (4) Data Science & Analytics (1) Healthcare & Medicine (1) Mathematics & Optimization (1) Applications (1) Clinical (1) Optimization (1)

Keywords

group fairness (3) clinical prediction (3) group attribute (2) integer programming (2) predictive multiplicity (2) uncertainty quantification (1) text classification (1) model selection (1) sequential classification (1) supervised learning (1) feature importance (1) machine unlearning (1) feature attribution (1) deep learning (1) convex optimization (1) empirical risk minimization (1) machine learning fairness (1) text generation (1) time series classification (1) constrained optimization (1)

Papers

Concept Bottleneck Large Language Models ICLR 2025 Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse ICLR 2025 Learning under Temporal Label Noise ICLR 2025 Regretful Decisions under Label Noise ICLR 2025 Selective Preference Aggregation ICML 2025 Understanding Fixed Predictions via Confined Regions ICML 2025 Classification with Conceptual Safeguards ICLR 2024 Prediction without Preclusion: Recourse Verification with Reachable Sets ICLR 2024 Providing Fair Recourse over Plausible Groups AAAI 2024 Participatory Personalization in Classification NeurIPS 2023 Predictive Multiplicity in Probabilistic Classification AAAI 2023 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023 On the Epistemic Limits of Personalized Prediction NeurIPS 2022 Learning Optimal Predictive Checklists NeurIPS 2021 Predictive Multiplicity in Classification ICML 2020 Fairness without Harm: Decoupled Classifiers with Preference Guarantees ICML 2019 Learning Optimized Risk Scores JMLR 2019 Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions ICML 2019