Cyclic Causal Discovery from Continuous Equilibrium Data

26 September 2013

Joris Mooij

Papers citing "Cyclic Causal Discovery from Continuous Equilibrium Data"

35 / 35 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 187 8 0 13 Mar 2025
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data Muralikrishnna G. Sethuraman Razieh Nabi Faramarz Fekri CML OOD 76 0 0 24 Oct 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models Haoyue Dai Ignavier Ng Yujia Zheng Zhengqing Gao Kun Zhang 57 3 0 21 Mar 2024
Learning Cyclic Causal Models from Incomplete Data Muralikrishnna G. Sethuraman Faramarz Fekri OOD CML 50 1 0 23 Feb 2024
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data Saptarshi Roy Raymond K. W. Wong Yang Ni CML 42 2 0 31 Oct 2023
Causal Modeling with Stationary Diffusions Lars Lorch Andreas Krause Bernhard Schölkopf DiffM 139 13 0 26 Oct 2023
Establishing Markov Equivalence in Cyclic Directed Graphs Tom Claassen Joris M. Mooij 50 2 0 01 Sep 2023
Model Selection over Partially Ordered Sets Armeen Taeb Peter Bühlmann V. Chandrasekaran 49 5 0 20 Aug 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning Muralikrishnna G. Sethuraman Romain Lopez Ramkumar Veppathur Mohan Faramarz Fekri Tommaso Biancalani Jan-Christian Hütter CML 79 12 0 04 Jan 2023
Interventional Causal Representation Learning Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 156 95 0 24 Sep 2022
Towards a Grounded Theory of Causation for Embodied AI Taco S. Cohen CML 77 9 0 28 Jun 2022
Ancestor regression in linear structural equation models Christoph Schultheiss Peter Buhlmann CML 100 6 0 18 May 2022
A Fast Non-parametric Approach for Local Causal Structure Learning Mona Azadkia Armeen Taeb Peter Buhlmann CML 64 3 0 29 Nov 2021
Obtaining Causal Information by Merging Datasets with MAXENT Sergio Hernan Garrido Mejia Elke Kirschbaum Dominik Janzing CML 123 10 0 15 Jul 2021
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation Takeshi Teshima Masashi Sugiyama CML 91 13 0 27 Feb 2021
Causality and independence in perfectly adapted dynamical systems Tineke Blom Joris M. Mooij CML 105 8 0 28 Jan 2021
Learning and scoring Gaussian latent variable causal models with unknown additive interventions Armeen Taeb Juan L. Gamella C. Heinze-Deml Peter Buhlmann CML 126 2 0 18 Jan 2021
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation A. Mondal A. Bhattacharya Sudipto Mukherjee A. Prathosh Sreeram Kannan Himanshu Asnani 77 15 0 17 May 2020
Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models Leonard Henckel Emilija Perković Marloes H. Maathuis CML 112 108 0 04 Jul 2019
Mimic and Classify : A meta-algorithm for Conditional Independence Testing Rajat Sen Karthikeyan Shanmugam Himanshu Asnani Arman Rahimzamani Sreeram Kannan CML VLM 83 16 0 25 Jun 2018
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Eric V. Strobl CML 84 30 0 05 May 2018
Model-Powered Conditional Independence Test Rajat Sen A. Suresh Karthikeyan Shanmugam A. Dimakis Sanjay Shakkottai VLM CML 60 91 0 18 Sep 2017
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 147 237 0 20 Jul 2017
Causal Consistency of Structural Equation Models Paul Kishan Rubenstein S. Weichwald Stephan Bongers Joris M. Mooij Dominik Janzing Moritz Grosse-Wentrup Bernhard Schölkopf CML 93 129 0 04 Jul 2017
Identifying Best Interventions through Online Importance Sampling Rajat Sen Karthikeyan Shanmugam A. Dimakis Sanjay Shakkottai 98 73 0 10 Jan 2017
Joint Causal Inference from Multiple Contexts Joris M. Mooij Sara Magliacane Tom Claassen CML 163 15 0 30 Nov 2016
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 95 167 0 18 Nov 2016
Computation of maximum likelihood estimates in cyclic structural equation models Mathias Drton C. Fox Y Samuel Wang 121 16 0 11 Oct 2016
Ancestral Causal Inference Sara Magliacane Tom Claassen Joris M. Mooij CML 126 63 0 22 Jun 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 112 253 0 07 Jun 2016
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 109 72 0 08 Jun 2015
Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij J. Peters Dominik Janzing Jakob Zscheischler Bernhard Schölkopf CML 148 138 0 11 Dec 2014
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets Sofia Triantafillou Ioannis Tsamardinos CML 169 151 0 10 Mar 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 160 326 0 06 Oct 2013
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs Alain Hauser Peter Buhlmann CML 107 95 0 13 Mar 2013