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Conditional independence testing based on a nearest-neighbor estimator
  of conditional mutual information

Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

5 September 2017
Jakob Runge
ArXivPDFHTML

Papers citing "Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information"

28 / 28 papers shown
Title
Scalable and Flexible Causal Discovery with an Efficient Test for
  Adjacency
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
Alan Nawzad Amin
Andrew Gordon Wilson
CML
34
1
0
13 Jun 2024
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite
  Work Out
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
Tristan Piater
Niklas Penzel
Gideon Stein
Joachim Denzler
39
2
0
18 Apr 2024
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical
  Systems via Causal Discovery from Time Series
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series
Daniele Meli
AI4TS
33
1
0
15 Apr 2024
Conditional Mutual Information for Disentangled Representations in
  Reinforcement Learning
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
22
17
0
23 May 2023
Discovering Causal Relations and Equations from Data
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINN
AI4Cl
AI4CE
CML
49
75
0
21 May 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
CML
AI4TS
35
24
0
27 Mar 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data
CUTS: Neural Causal Discovery from Irregular Time-Series Data
Yuxiao Cheng
Runzhao Yang
Tingxiong Xiao
Zongren Li
J. Suo
K. He
Qionghai Dai
OOD
BDL
AI4TS
CML
26
25
0
15 Feb 2023
Sensor data-driven analysis for identification of causal relationships
  between exposure to air pollution and respiratory rate in asthmatics
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics
D. Arvind
S. Maiya
16
1
0
16 Jan 2023
A survey of some recent developments in measures of association
A survey of some recent developments in measures of association
S. Chatterjee
19
14
0
09 Nov 2022
Composite Feature Selection using Deep Ensembles
Composite Feature Selection using Deep Ensembles
F. Imrie
Alexander Norcliffe
Pietro Lio
M. Schaar
42
12
0
01 Nov 2022
Conditional Independence Testing via Latent Representation Learning
Conditional Independence Testing via Latent Representation Learning
Bao Duong
T. Nguyen
BDL
CML
31
6
0
04 Sep 2022
DIET: Conditional independence testing with marginal dependence measures
  of residual information
DIET: Conditional independence testing with marginal dependence measures of residual information
Mukund Sudarshan
A. Puli
Wesley Tansey
Rajesh Ranganath
26
2
0
18 Aug 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social
  Scientists
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
M. Vowels
CML
32
2
0
10 Jun 2022
Achieving Long-Term Fairness in Sequential Decision Making
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu
Lu Zhang
23
20
0
04 Apr 2022
Local permutation tests for conditional independence
Local permutation tests for conditional independence
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
31
27
0
22 Dec 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel
  Embeddings
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
M. Scetbon
Laurent Meunier
Yaniv Romano
28
10
0
28 Oct 2021
Data-Driven Representations for Testing Independence: Modeling, Analysis
  and Connection with Mutual Information Estimation
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation
Mauricio E. Gonzalez
Jorge F. Silva
M. Videla
Marcos E. Orchard
42
10
0
27 Oct 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
30
48
0
29 Sep 2021
On Azadkia-Chatterjee's conditional dependence coefficient
On Azadkia-Chatterjee's conditional dependence coefficient
Hongjian Shi
Mathias Drton
Fang Han
32
30
0
15 Aug 2021
Neural Estimators for Conditional Mutual Information Using Nearest
  Neighbors Sampling
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
Sina Molavipour
Germán Bassi
Mikael Skoglund
22
8
0
12 Jun 2020
Discovering contemporaneous and lagged causal relations in
  autocorrelated nonlinear time series datasets
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
Jakob Runge
14
180
0
07 Mar 2020
Conditional Mutual Information Neural Estimator
Conditional Mutual Information Neural Estimator
Sina Molavipour
Germán Bassi
Mikael Skoglund
24
14
0
06 Nov 2019
A simple measure of conditional dependence
A simple measure of conditional dependence
Mona Azadkia
S. Chatterjee
27
126
0
27 Oct 2019
A Bayesian nonparametric test for conditional independence
A Bayesian nonparametric test for conditional independence
Onur Teymur
Sarah Filippi
32
3
0
24 Oct 2019
Conditional Independence Testing using Generative Adversarial Networks
Conditional Independence Testing using Generative Adversarial Networks
Alexis Bellot
M. Schaar
CML
GAN
26
51
0
09 Jul 2019
The conditional permutation test for independence while controlling for
  confounders
The conditional permutation test for independence while controlling for confounders
Thomas B. Berrett
Yi Wang
Rina Foygel Barber
R. Samworth
38
16
0
14 Jul 2018
Mimic and Classify : A meta-algorithm for Conditional Independence
  Testing
Mimic and Classify : A meta-algorithm for Conditional Independence Testing
Rajat Sen
Karthikeyan Shanmugam
Himanshu Asnani
Arman Rahimzamani
Sreeram Kannan
CML
VLM
21
16
0
25 Jun 2018
Learning non-parametric Markov networks with mutual information
Learning non-parametric Markov networks with mutual information
Janne Leppä-aho
Santeri Räisänen
Xiao Yang
Teemu Roos
21
2
0
08 Aug 2017
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