Omer Reingold
11 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19)
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Century Club Β· Bronze
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Research topics
Machine Learning
(9)
Application Areas
(6)
Optimization & Theory Β· Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Models
(2)
Bayesian & Probabilistic
(1)
Learning Types
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
outcome indistinguishability
(3)
algorithmic fairness
(2)
generative model
(2)
sample complexity
(1)
explainable ai
(1)
constrained optimization
(1)
mean estimation
(1)
fair classification
(1)
outlier detection
(1)
convex loss
(1)
robust estimation
(1)
human decision-making
(1)
fat-shattering dimension
(1)
incomplete data
(1)
group fairness
(1)
model interpretability
(1)
density ratio
(1)
protected group
(1)
human-ai interaction
(1)
pac learning
(1)
Papers
Representative Language Generation
ICML 2025
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
AAAI 2024
Omnipredictors for Constrained Optimization
ICML 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
NeurIPS 2023
Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature
ALT 2022
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
ALT 2022
Multicalibrated Partitions for Importance Weights
ALT 2022
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
AISTATS 2021
Fairness Through Computationally-Bounded Awareness
NeurIPS 2018
Multicalibration: Calibration for the (Computationally-Identifiable) Masses
ICML 2018
Generalization in Adaptive Data Analysis and Holdout Reuse
NeurIPS 2015