Berk Ustun
18 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(15)
π
Grand Slam
π
Century Club
(18)
π₯
Unstoppable
(7)
β‘
Prolific Year
(6)
Conferences
ICLR (6)
ICML (6)
NIPS (3)
AAAI (2)
JMLR (1)
Top co-authors
Keywords
group fairness
(3)
predictive multiplicity
(2)
group attribute
(2)
clinical prediction
(2)
integer programming
(2)
supervised learning
(1)
constrained optimization
(1)
machine learning fairness
(1)
empirical risk minimization
(1)
hypothesis testing
(1)
mixed integer programming
(1)
linear classification
(1)
minimax bounds
(1)
sparse model
(1)
cutting plane
(1)
risk assessment
(1)
classification model
(1)
fair machine learning
(1)
hypothesis test
(1)
risk score
(1)
Papers
Learning under Temporal Label Noise
ICLR 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
ICLR 2025
Concept Bottleneck Large Language Models
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
Providing Fair Recourse over Plausible Groups
AAAI 2024
Prediction without Preclusion: Recourse Verification with Reachable Sets
ICLR 2024
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
ICML 2023
Predictive Multiplicity in Probabilistic Classification
AAAI 2023
Participatory Personalization in Classification
NIPS 2023
On the Epistemic Limits of Personalized Prediction
NIPS 2022
Learning Optimal Predictive Checklists
NIPS 2021
Predictive Multiplicity in Classification
ICML 2020
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
ICML 2019
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
ICML 2019
Learning Optimized Risk Scores
JMLR 2019