Sample Complexity Bounds For Realizable Multicalibration

Summary

Charlotte Peale (Stanford) simons.berkeley.edu/talks/emily-black-stanford-2023-04-26 Multigroup Fairness and the Validity ... Mark Braverman Princeton University December 3, 2012 In this talk we will discuss information Silvia Casacuberta Puig (Harvard) simons.berkeley.edu/talks/silvia-casacuberta-puig-harvard-2023-04-27 Multigroup ... Aaron Roth (University of Pennsylvania) simons.berkeley.edu/talks/online-adversarial- Over the past two decades, information theory has reemerged within computational Udi Wieder (VMware) simons.berkeley.edu/talks/udi-wieder-vmware-2023-04-25 Multigroup Fairness and the Validity of ... We are looking at feature extraction using Approximate Entropy - Foundations of Responsible Computing (FORC 2021) Title: Moment Program: Circuits, Communication, and Proofs ORGANIZERS: Arkadev Chattopadhyay (TIFR, Mumbai, India) and Meena ... A talk at the Wharton statistics seminar about our paper here: arxiv.org/abs/2008.08037. Authors: Zhun Deng, Cynthia Dwork (Harvard University); Linjun Zhang (Rutgers University) ITCS - Innovations in Theoretical ... Yeyuan Chen (University of Michigan, Ann Arbor) ... Omer Reingold (Stanford University) simons.berkeley.edu/talks/tbd-396 Algorithmic Aspects of Causal Inference A key ... Dr. LeBlanc's talk focuses around "the risk of increasing