Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning
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(FIVE YEARS 14)

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Published By Springer International Publishing

9783030218096, 9783030218102

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Conditional Distribution Variability Measures for Causality Detection

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_12 ◽

2019 ◽

pp. 339-347

Author(s):

Josè A. R. Fonollosa

Keyword(s):

Conditional Distribution

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Training Gradient Boosting Machines Using Curve-Fitting and Information-Theoretic Features for Causal Direction Detection

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_11 ◽

2019 ◽

pp. 331-338

Author(s):

Spyridon Samothrakis ◽

Diego Perez ◽

Simon Lucas

Keyword(s):

Curve Fitting ◽

Gradient Boosting ◽

Information Theoretic ◽

Causal Direction ◽

Direction Detection

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Non-linear Causal Inference Using Gaussianity Measures

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_8 ◽

2019 ◽

pp. 257-299

Author(s):

Daniel Hernández-Lobato ◽

Pablo Morales-Mombiela ◽

David Lopez-Paz ◽

Alberto Suárez

Keyword(s):

Causal Inference ◽

Non Linear

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Evaluation Methods of Cause-Effect Pairs

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_2 ◽

2019 ◽

pp. 27-99

Author(s):

Isabelle Guyon ◽

Olivier Goudet ◽

Diviyan Kalainathan

Keyword(s):

Evaluation Methods

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Learning Bivariate Functional Causal Models

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_3 ◽

2019 ◽

pp. 101-153

Author(s):

Olivier Goudet ◽

Diviyan Kalainathan ◽

Michèle Sebag ◽

Isabelle Guyon

Keyword(s):

Causal Models

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From Dependency to Causality: A Machine Learning Approach

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_9 ◽

2019 ◽

pp. 301-320

Author(s):

Gianluca Bontempi ◽

Maxime Flauder

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Machine Learning Approach

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Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_14 ◽

2019 ◽

pp. 359-372

Author(s):

Eric V. Strobl ◽

Shyam Visweswaran

Keyword(s):

Markov Blanket ◽

Conditional Dependence ◽

Dependence Measures

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Beyond Cause-Effect Pairs

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_6 ◽

2019 ◽

pp. 215-233

Author(s):

Frederick Eberhardt

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Pattern-Based Causal Feature Extraction

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_10 ◽

2019 ◽

pp. 321-329 ◽

Cited By ~ 1

Author(s):

Diogo Moitinho de Almeida

Keyword(s):

Feature Extraction

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Discriminant Learning Machines

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning ◽

10.1007/978-3-030-21810-2_4 ◽

2019 ◽

pp. 155-189

Author(s):

Diviyan Kalainathan ◽

Olivier Goudet ◽

Michèle Sebag ◽

Isabelle Guyon

Keyword(s):

Learning Machines ◽

Discriminant Learning

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Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Conditional Distribution Variability Measures for Causality Detection

Training Gradient Boosting Machines Using Curve-Fitting and Information-Theoretic Features for Causal Direction Detection

Non-linear Causal Inference Using Gaussianity Measures

Evaluation Methods of Cause-Effect Pairs

Learning Bivariate Functional Causal Models

From Dependency to Causality: A Machine Learning Approach

Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures

Beyond Cause-Effect Pairs

Pattern-Based Causal Feature Extraction

Discriminant Learning Machines

Cause Effect Pairs in Machine Learning - The Springer Series on Challenges in Machine Learning
Latest Publications