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Learning and scoring Gaussian latent variable causal models with unknown additive interventions

18 January 2021

Papers citing "Learning and scoring Gaussian latent variable causal models with unknown additive interventions"

20 / 20 papers shown

Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 147 8 0 13 Mar 2025
Differentiable Causal Discovery Under Unmeasured Confounding Rohit Bhattacharya Tushar Nagarajan Daniel Malinsky I. Shpitser CML 65 60 0 14 Oct 2020
Active Invariant Causal Prediction: Experiment Selection through Stability Juan L. Gamella C. Heinze-Deml OOD 57 46 0 10 Jun 2020
Decision-theoretic foundations for statistical causality P. Dawid CML AI4CE 35 52 0 26 Apr 2020
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 62 229 0 05 Mar 2019
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Kun Zhang OOD CML 61 61 0 26 May 2017
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 85 249 0 07 Jun 2016
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 75 130 0 09 Jul 2015
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 68 72 0 08 Jun 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 122 971 0 06 Jan 2015
Cyclic Causal Discovery from Continuous Equilibrium Data Joris Mooij Tom Heskes 67 82 0 26 Sep 2013
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs Alain Hauser Peter Buhlmann CML 80 95 0 13 Mar 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 274 634 0 20 Feb 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 116 165 0 10 Jan 2013
Learning high-dimensional directed acyclic graphs with latent and selection variables Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 126 466 0 29 Apr 2011
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 95 425 0 14 Apr 2011
Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview A. Dawid Vanessa Didelez 142 108 0 17 Oct 2010
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 207 509 0 06 Aug 2010
Rank-Sparsity Incoherence for Matrix Decomposition V. Chandrasekaran Sujay Sanghavi P. Parrilo A. Willsky CML 255 1,111 0 11 Jun 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin Recht Maryam Fazel P. Parrilo 419 3,768 0 28 Jun 2007