Omer Reingold

Omer Reingold works as TCS Technical Lead at Resolution. His research and talks have addressed algorithmic fairness, including multigroup fairness, and the use of explanations to reduce overreliance on machine-learning models.

Career

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Elsewhere

Resolution

Oct 2026 — Present

TCS Technical Lead

Products & media

ojs.aaai.org

Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance

A research paper on using conflicting model predictions and explanations to help people avoid overrelying on model recommendations.

Writing

simons.berkeley.edu

Multigroup Fairness | Polylogues

A conversation about multigroup fairness and themes from the Simons Institute workshop on statistical judgment.

Media appearance

engineering.stanford.edu

How to design algorithms with fairness in mind

A discussion of how fairness can be incorporated into algorithms, including multigroup fairness and its application to health predictions.

Media appearance

cs.jhu.edu

Good Research Karma: The Unexpected Benefits of Striving for Algorithmic Fairness

A seminar on multicalibration and its implications for machine learning, privacy, and statistical analysis.

Media appearance

irif.fr

Interview with Omer Reingold for a Distinguished Talk on Algorithmic Fairness

An interview introducing his talk on group affiliations, fairness, loss minimization, and outcome indistinguishability.

Media appearance

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Omer Reingold

Resolution

Products & media

Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance

Multigroup Fairness | Polylogues

How to design algorithms with fairness in mind

Good Research Karma: The Unexpected Benefits of Striving for Algorithmic Fairness

Interview with Omer Reingold for a Distinguished Talk on Algorithmic Fairness

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