Near-optimal learning of tree-structured distributions by Chow-Liu
Author:
Affiliation:
1. National University of Singapore, Singapore
2. University of Texas at Austin, USA
3. University of Nebraska-Lincoln, USA
Funder
NSF (National Science Foundation)
Amazon
National Research Foundation Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3406325.3451066
Reference58 articles.
1. Learning factor graphs in polynomial time and sample complexity;Abbeel Pieter;Journal of Machine Learning Research,2006
2. Jayadev Acharya Constantinos Daskalakis and Gautam Kamath. 2015. Optimal Testing for Properties of Distributions. In Advances in Neural Information Processing Systems. Jayadev Acharya Constantinos Daskalakis and Gautam Kamath. 2015. Optimal Testing for Properties of Distributions. In Advances in Neural Information Processing Systems.
3. Anima Anandkumar Daniel J Hsu Furong Huang and Sham M Kakade. 2012. Learning mixtures of tree graphical models. In Advances in Neural Information Processing Systems. Pages 1052–1060. Anima Anandkumar Daniel J Hsu Furong Huang and Sham M Kakade. 2012. Learning mixtures of tree graphical models. In Advances in Neural Information Processing Systems. Pages 1052–1060.
4. Convergence properties of functional estimates for discrete distributions
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