Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu-Reference-Cited by-同舟云学术

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Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu

Published:2023-06-15 Issue:3 Volume:52 Page:761-793
ISSN:0097-5397
Container-title:SIAM Journal on Computing
language:en
Short-container-title:SIAM J. Comput.

Author:

Bhattacharyya Arnab¹,Gayen Sutanu²^ORCID,Price Eric³,Tan Vincent Y. F.¹^ORCID,Vinodchandran N. V.⁴

Affiliation:

1. National University of Singapore, Singapore.

2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, UP, 208016, India.

3. Department of Computer Science, University of Texas at Austin, Austin, TX 78712 USA.

4. School of Computing, University of Nebraska-Lincoln, Lincoln, NE 68588-0115 USA.

Funder

NRF-AI Fellowship

Amazon Research Award

Indian Institute of Technology Kanpur

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

General Mathematics,General Computer Science

Reference33 articles.

1. Convergence properties of functional estimates for discrete distributions

2. Learning a tree-structured Ising model in order to make predictions

3. Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

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