Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
Name
3519935.3519950.pdf
Size
362.39 KB
Format
Adobe PDF
Checksum (MD5)
f2578dfeeec71a3cdd572ede11505e63
Author(s)
Daskalakis, Constantinos
Golowich, Noah
Date Issued
June 9, 2022
Publisher
ACM|Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing
Citation
Daskalakis, Constantinos and Golowich, Noah. 2022. "Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3519935.3519950
