Learning Ising models from one or multiple samples
Author(s)
Dagan, Yuval; Daskalakis, Constantinos; Dikkala, Nishanth; Kandiros, Anthimos Vardis
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Metadata
Show full item recordDate issued
2021Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryJournal
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: Final published version