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Learning Ising models from one or multiple samples

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sword-2022-06-17T16:11:09.original.xml (130 B)
Original SWORD entry document
Author(s)
Dagan, Yuval
•
Daskalakis, Constantinos
•
Dikkala, Nishanth
•
Kandiros, Anthimos Vardis
Date Issued
2021
Journal
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
Publisher
Association for Computing Machinery (ACM)
Citation
Dagan, Yuval, Daskalakis, Constantinos, Dikkala, Nishanth and Kandiros, Anthimos Vardis. 2021. "Learning Ising models from one or multiple samples." Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing.
Version
Original manuscript
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/143465
DOI of Published Version
10.1145/3406325.3451074
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