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Model-Powered Conditional Independence Test

Model-Powered Conditional Independence Test

18 September 2017
Rajat Sen
A. Suresh
Karthikeyan Shanmugam
A. Dimakis
Sanjay Shakkottai
    VLM
    CML
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Papers citing "Model-Powered Conditional Independence Test"

13 / 13 papers shown
Title
InfoBridge: Mutual Information estimation via Bridge Matching
InfoBridge: Mutual Information estimation via Bridge Matching
Sergei Kholkin
Ivan Butakov
Evgeny Burnaev
Nikita Gushchin
Alexander Korotin
DiffM
FedML
89
0
0
03 Feb 2025
Demystifying amortized causal discovery with transformers
Demystifying amortized causal discovery with transformers
Francesco Montagna
Max Cairney-Leeming
Dhanya Sridhar
Francesco Locatello
CML
89
1
0
27 May 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
119
11
0
28 Feb 2024
Approximate Kernel-based Conditional Independence Tests for Fast
  Non-Parametric Causal Discovery
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Eric V. Strobl
Kun Zhang
Shyam Visweswaran
BDL
58
174
0
13 Feb 2017
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
95
397
0
20 Oct 2016
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao
Sewoong Oh
Pramod Viswanath
39
33
0
07 Sep 2016
Demystifying Fixed k-Nearest Neighbor Information Estimators
Demystifying Fixed k-Nearest Neighbor Information Estimators
Weihao Gao
Sewoong Oh
Pramod Viswanath
41
137
0
11 Apr 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
304
37,815
0
09 Mar 2016
Conditional Probability Tree Estimation Analysis and Algorithms
Conditional Probability Tree Estimation Analysis and Algorithms
A. Beygelzimer
John Langford
Y. Lifshits
G. Sorkin
Alexander L. Strehl
TPM
45
88
0
09 Aug 2014
Cyclic Causal Discovery from Continuous Equilibrium Data
Cyclic Causal Discovery from Continuous Equilibrium Data
Joris Mooij
Tom Heskes
37
82
0
26 Sep 2013
SparsityBoost: A New Scoring Function for Learning Bayesian Network
  Structure
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure
Eliot Brenner
David Sontag
86
41
0
26 Sep 2013
Kernel-based Conditional Independence Test and Application in Causal
  Discovery
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang
J. Peters
Dominik Janzing
Bernhard Schölkopf
BDL
CML
79
618
0
14 Feb 2012
Search-based Structured Prediction
Search-based Structured Prediction
Hal Daumé
John Langford
Daniel Marcu
GNN
96
582
0
04 Jul 2009
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