98 citations · 406 across the 27 of their papers we have counts for
35 papers
Oracle Efficient Online Multicalibration and Omniprediction
Sumegha Garg, Christopher Jung, Omer Reingold +1
A recent line of work has shown a surprising connection between multicalibration, a multi-group fairness notion, and omniprediction, a learning paradigm that provides simultaneous…
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
Omer Reingold, Judy Hanwen Shen, Aditi Talati
While explainability is a desirable characteristic of increasingly complex black-box models, modern explanation methods have been shown to be inconsistent and contradictory. The se…
Bidding Strategies for Proportional Representation in Advertisement Campaigns
Inbal Livni Navon, Charlotte Peale, Omer Reingold +1
Many companies rely on advertising platforms such as Google, Facebook, or Instagram to recruit a large and diverse applicant pool for job openings. Prior works have shown that equi…
Generative Models of Huge Objects
Lunjia Hu, Inbal Livni-Navon, Omer Reingold
This work initiates the systematic study of explicit distributions that are indistinguishable from a single exponential-size combinatorial object. In this we extend the work of Gol…
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
Parikshit Gopalan, Michael P. Kim, Omer Reingold
We introduce and study Swap Agnostic Learning. The problem can be phrased as a game between a predictor and an adversary: first, the predictor selects a hypothesis ; then, the a…
Loss Minimization through the Lens of Outcome Indistinguishability
Parikshit Gopalan, Lunjia Hu, Michael P. Kim +2
We present a new perspective on loss minimization and the recent notion of Omniprediction through the lens of Outcome Indistingusihability. For a collection of losses and hypothesi…