Learning high-dimensional directed acyclic graphs with latent and
selection variables

Learning high-dimensional directed acyclic graphs with latent and selection variables

29 April 2011

Marloes H. Maathuis

Thomas S. Richardson

Papers citing "Learning high-dimensional directed acyclic graphs with latent and selection variables"

15 / 65 papers shown

Title
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks Alex E. White Matthieu Vignes CML 15 5 0 04 May 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 24 93 0 13 Mar 2018
Learning Large-Scale Bayesian Networks with the sparsebn Package Bryon Aragam J. Gu Qing Zhou CML 19 55 0 11 Mar 2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Eric V. Strobl Anton van den Hengel Shyam Visweswaran BDL 22 169 0 13 Feb 2017
Joint Causal Inference from Multiple Contexts Joris M. Mooij Sara Magliacane Tom Claassen CML 30 15 0 30 Nov 2016
Computation of maximum likelihood estimates in cyclic structural equation models Mathias Drton C. Fox Y Samuel Wang 27 16 0 11 Oct 2016
Evaluating Causal Models by Comparing Interventional Distributions Dan Garant David D. Jensen CML 11 11 0 16 Aug 2016
Ancestral Causal Inference Sara Magliacane Tom Claassen Joris M. Mooij CML 16 61 0 22 Jun 2016
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL 23 141 0 22 Jun 2016
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets, and Complexity James Cussens Matti Järvisalo Janne H. Korhonen M. Bartlett 34 55 0 13 May 2016
A fast PC algorithm for high dimensional causal discovery with multi-core PCs T. Le Tao Hoang Jiuyong Li Lin Liu Huawen Liu 38 140 0 09 Feb 2015
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets Sofia Triantafillou Ioannis Tsamardinos CML 32 147 0 10 Mar 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 53 320 0 06 Oct 2013
On the causal interpretation of acyclic mixed graphs under multivariate normality C. Fox Andreas Kaufl Mathias Drton CML 48 10 0 16 Aug 2013
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 147 437 0 20 Feb 2013