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Measuring Distribution Drift via Multicalibration
Sample Complexity Bounds for Realizable Multicalibration
ICML 2022 long talk: Robustness Implies Generalization via Data-Dependent Generalization Bounds
What Statistics Can We Multicalibrate A Characterization via Property Elicitation
A Unifying Theory of Distance to Calibration
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Last Updated: September 29, 2026
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Authors: Zhun Deng, Cynthia Dwork (Harvard University); Linjun Zhang (Rutgers University) ITCS - Innovations in Theoretical ... Aaron Roth (University of Pennsylvania) simons.berkeley.edu/talks/online-adversarial- Omer Reingold (Stanford University) simons.berkeley.edu/talks/tbd-396 Algorithmic Aspects of Causal Inference A key ... Michael Kim (UC Berkeley) simons.berkeley.edu/talks/tbd-459 Data-Driven Decision Processes Boot Camp Algorithms ... Udi Wieder (VMware) simons.berkeley.edu/talks/udi-wieder-vmware-2023-04-25 Multigroup Fairness and the Validity of ... Charlotte Peale (Stanford) simons.berkeley.edu/talks/emily-black-stanford-2023-04-26 Multigroup Fairness and the Validity ... The full paper is publically available at: proceedings.mlr.press/v162/kawaguchi22a.html This is a talk given by Zhun Deng ... Georgy Noarov (University of Pennsylvania) simons.berkeley.edu/talks/georgy-noarov-university-pennsylvania-2023-04-26 ... A Google TechTalk, presented by Jarosław Błasiok, 2023-04-04 ABSTRACT: We study the fundamental question of how to define ...
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