Learning Ising models from one or multiple samples
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery (ACM)
2022
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| Online Access: | https://hdl.handle.net/1721.1/143465.2 |
| _version_ | 1811085593073942528 |
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| author | Dagan, Yuval Daskalakis, Constantinos Dikkala, Nishanth Kandiros, Anthimos Vardis |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Dagan, Yuval Daskalakis, Constantinos Dikkala, Nishanth Kandiros, Anthimos Vardis |
| author_sort | Dagan, Yuval |
| collection | MIT |
| first_indexed | 2024-09-23T13:12:03Z |
| format | Article |
| id | mit-1721.1/143465.2 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:12:03Z |
| publishDate | 2022 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/143465.22023-12-22T18:37:35Z Learning Ising models from one or multiple samples Dagan, Yuval Daskalakis, Constantinos Dikkala, Nishanth Kandiros, Anthimos Vardis Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-10-27T18:48:50Z 2022-06-17T16:15:43Z 2022-10-27T18:48:50Z 2021 2022-06-17T16:11:09Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/143465.2 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. en 10.1145/3406325.3451074 Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Association for Computing Machinery (ACM) ACM |
| spellingShingle | Dagan, Yuval Daskalakis, Constantinos Dikkala, Nishanth Kandiros, Anthimos Vardis Learning Ising models from one or multiple samples |
| title | Learning Ising models from one or multiple samples |
| title_full | Learning Ising models from one or multiple samples |
| title_fullStr | Learning Ising models from one or multiple samples |
| title_full_unstemmed | Learning Ising models from one or multiple samples |
| title_short | Learning Ising models from one or multiple samples |
| title_sort | learning ising models from one or multiple samples |
| url | https://hdl.handle.net/1721.1/143465.2 |
| work_keys_str_mv | AT daganyuval learningisingmodelsfromoneormultiplesamples AT daskalakisconstantinos learningisingmodelsfromoneormultiplesamples AT dikkalanishanth learningisingmodelsfromoneormultiplesamples AT kandirosanthimosvardis learningisingmodelsfromoneormultiplesamples |