Sample-optimal and efficient learning of tree Ising models
Name
3406325.3451006.pdf
Description
Published version
Size
3.06 MB
Format
Adobe PDF
Checksum (MD5)
255e9efad910ea99b5f5208e6d841ca7
Author(s) •
Daskalakis, Constantinos
Pan, Qinxuan
Date Issued
2021
Journal
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
Publisher
Association for Computing Machinery (ACM)
Citation
Daskalakis, Constantinos and Pan, Qinxuan. 2021. "Sample-optimal and efficient learning of tree Ising models." Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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/10.1145/3406325.3451006