A polynomial-time algorithm for learning nonparametric causal graphs

A polynomial-time algorithm for learning nonparametric causal graphs

22 June 2020

Papers citing "A polynomial-time algorithm for learning nonparametric causal graphs"

13 / 13 papers shown

Title
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 104 117 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 150 260 0 29 Sep 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 50 273 0 05 Jun 2019
Conditionally-additive-noise Models for Structure Learning D. Chicharro S. Panzeri I. Shpitser CML 34 4 0 20 May 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 69 485 0 22 Apr 2019
Learning linear structural equation models in polynomial time and sample complexity Asish Ghoshal Jean Honorio CML 78 84 0 15 Jul 2017
On the Intersection Property of Conditional Independence and its Application to Causal Discovery J. Peters CML 62 30 0 03 Mar 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 109 323 0 06 Oct 2013
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure Eliot Brenner David Sontag 99 41 0 26 Sep 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 100 569 0 26 Sep 2013
Local polynomial regression and variable selection Hugh Miller P. Hall 67 22 0 16 Jun 2010
Selection of variables and dimension reduction in high-dimensional non-parametric regression Karine Bertin Guillaume Lecué 88 50 0 07 Nov 2008
Rodeo: Sparse, greedy nonparametric regression John D. Lafferty Larry A. Wasserman 176 137 0 12 Mar 2008