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Optimal Kernel Choice for Score Function-based Causal Discovery

Optimal Kernel Choice for Score Function-based Causal Discovery

14 July 2024
Wenjie Wang
Erdun Gao
Feng Liu
Xinge You
Tongliang Liu
Kun Zhang
Biwei Huang
ArXivPDFHTML

Papers citing "Optimal Kernel Choice for Score Function-based Causal Discovery"

6 / 6 papers shown
Title
Rank-Based Causal Discovery for Post-Nonlinear Models
Rank-Based Causal Discovery for Post-Nonlinear Models
Grigor Keropyan
David Strieder
Mathias Drton
CML
66
6
0
23 Feb 2023
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
70
300
0
03 Mar 2021
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric Xing
CML
145
260
0
29 Sep 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDL
CML
GNN
67
485
0
22 Apr 2019
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model
  Evaluation
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
Qiang Liu
Jason D. Lee
Michael I. Jordan
98
483
0
10 Feb 2016
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
82
621
0
14 Feb 2012
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