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Testing Conditional Independence on Discrete Data using Stochastic
  Complexity

Testing Conditional Independence on Discrete Data using Stochastic Complexity

12 March 2019
Alexander Marx
Jilles Vreeken
    CML
ArXiv (abs)PDFHTML

Papers citing "Testing Conditional Independence on Discrete Data using Stochastic Complexity"

11 / 11 papers shown
Title
Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information
Sutanu Gayen
Sanket Kale
Sayantan Sen
100
0
0
18 Nov 2024
On the Properties and Estimation of Pointwise Mutual Information
  Profiles
On the Properties and Estimation of Pointwise Mutual Information Profiles
Paweł Czyż
Frederic Grabowski
Julia E. Vogt
N. Beerenwinkel
Alexander Marx
83
3
0
16 Oct 2023
Conditional independence testing under misspecified inductive biases
Conditional independence testing under misspecified inductive biases
Felipe Maia Polo
Yuekai Sun
Moulinath Banerjee
CML
53
3
0
05 Jul 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators
Beyond Normal: On the Evaluation of Mutual Information Estimators
Paweł Czyż
Frederic Grabowski
Julia E. Vogt
N. Beerenwinkel
Alexander Marx
103
35
0
19 Jun 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan
Emam Hossain
Md. Osman Gani
CMLAI4TS
126
31
0
27 Mar 2023
A Simple Unified Approach to Testing High-Dimensional Conditional
  Independences for Categorical and Ordinal Data
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
Ankur Ankan
J. Textor
CML
77
5
0
09 Jun 2022
Local permutation tests for conditional independence
Local permutation tests for conditional independence
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
98
28
0
22 Dec 2021
Combining Human Predictions with Model Probabilities via Confusion
  Matrices and Calibration
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
Gavin Kerrigan
Padhraic Smyth
M. Steyvers
70
49
0
29 Sep 2021
Towards Efficient Local Causal Structure Learning
Towards Efficient Local Causal Structure Learning
shuai Yang
Hao Wang
Kui Yu
Fuyuan Cao
Xindong Wu
CML
44
23
0
28 Feb 2021
On the Sample Complexity of Causal Discovery and the Value of Domain
  Expertise
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
Samir Wadhwa
Roy Dong
CML
37
9
0
05 Feb 2021
Learning Bayesian networks from demographic and health survey data
Learning Bayesian networks from demographic and health survey data
N. K. Kitson
Anthony C. Constantinou
CML
76
23
0
02 Dec 2019
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