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Lower Bounds on Active Learning for Graphical Model Selection

v1v2 (latest)

Lower Bounds on Active Learning for Graphical Model Selection

International Conference on Artificial Intelligence and Statistics (AISTATS), 2016

8 July 2016

Jonathan Scarlett

ArXiv (abs)PDF HTML

Papers citing "Lower Bounds on Active Learning for Graphical Model Selection"

5 / 5 papers shown

Active-LATHE: An Active Learning Algorithm for Boosting the Error
Exponent for Learning Homogeneous Ising Trees

Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees

Vincent Y. F. Tan

288

1

0

27 Oct 2021

Active Structure Learning of Bayesian Networks in an Observational
Setting

Active Structure Learning of Bayesian Networks in an Observational SettingJournal of machine learning research (JMLR), 2021

358

5

0

25 Mar 2021

Exact Asymptotics for Learning Tree-Structured Graphical Models with
Side Information: Noiseless and Noisy Samples

Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples

Vincent Y. F. Tan

217

7

0

09 May 2020

An Introductory Guide to Fano's Inequality with Applications in
Statistical Estimation

An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Jonathan Scarlett

490

49

0

02 Jan 2019

Active covariance estimation by random sub-sampling of variables

Active covariance estimation by random sub-sampling of variables

324

2

0

04 Apr 2018

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