Optimal Kernel Choice for Score Function-based Causal Discovery

14 July 2024

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

10 / 10 papers shown

Title
Rank-Based Causal Discovery for Post-Nonlinear Models Grigor Keropyan David Strieder Mathias Drton CML 70 7 0 23 Feb 2023
DiBS: Differentiable Bayesian Structure Learning Lars Lorch Jonas Rothfuss Bernhard Schölkopf Andreas Krause 50 87 0 25 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 109 300 0 03 Mar 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 153 260 0 29 Sep 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 76 486 0 22 Apr 2019
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 100 483 0 10 Feb 2016
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 114 323 0 06 Oct 2013
Gaussian Process Networks N. Friedman I. Nachman GP BDL 166 85 0 16 Jan 2013
A simple approach for finding the globally optimal Bayesian network structure T. Silander P. Myllymäki TPM 90 398 0 27 Jun 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 96 629 0 14 Feb 2012