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Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions

17 February 2018

Papers citing "Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions"

32 / 32 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 128 0 0 02 May 2025
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
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 102 0 0 31 Jan 2025
Generative Intervention Models for Causal Perturbation Modeling Nora Schneider Lars Lorch Niki Kilbertus Bernhard Schölkopf Andreas Krause 173 2 0 21 Nov 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Yue Liu Ding Zhao OffRL CML 125 0 0 15 Jul 2024
Interventional Causal Discovery in a Mixture of DAGs Burak Varıcı Dmitriy A. Katz-Rogozhnikov Dennis L. Wei P. Sattigeri A. Tajer CML 86 1 0 12 Jun 2024
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 141 1 0 28 May 2024
Model Selection over Partially Ordered Sets Armeen Taeb Peter Bühlmann V. Chandrasekaran 49 5 0 20 Aug 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Tianyu Chen Kevin Bello Bryon Aragam Pradeep Ravikumar CML 65 3 0 30 Jun 2023
dotears: Scalable, consistent DAG estimation using observational and interventional data Albert Y Xue Jingyou Rao S. Sankararaman Harold Pimentel OOD CML 50 4 0 30 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
Linear Causal Disentanglement via Interventions C. Squires A. Seigal Salil Bhate Caroline Uhler CML 130 68 0 29 Nov 2022
Interventional Causal Representation Learning Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 156 95 0 24 Sep 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Yue Liu Ding Zhao LRM 93 40 0 19 Jul 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery Andreas Sauter Erman Acar Vincent François-Lavet CML 106 19 0 18 Jul 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 87 43 0 15 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 100 50 0 04 Jun 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 119 22 0 03 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 93 4 0 30 May 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 106 53 0 29 Nov 2021
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 102 72 0 22 Jul 2021
Matching a Desired Causal State via Shift Interventions Jiaqi Zhang C. Squires Caroline Uhler 95 16 0 05 Jul 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex Andreas Krause Caroline Uhler CML 82 20 0 28 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Simon Lacoste-Julien Alexandre Drouin CML 99 191 0 03 Jul 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 59 27 0 11 Apr 2020
Learning and Sampling of Atomic Interventions from Observations Arnab Bhattacharyya Sutanu Gayen S. Kandasamy Ashwin Maran N. V. Vinodchandran CML 49 4 0 11 Feb 2020
Interventional Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 45 10 0 12 Oct 2019
Size of Interventional Markov Equivalence Classes in Random DAG Models Dmitriy A. Katz Karthikeyan Shanmugam C. Squires Caroline Uhler CML 55 9 0 05 Mar 2019
Learning and Testing Causal Models with Interventions Jayadev Acharya Arnab Bhattacharyya C. Daskalakis S. Kandasamy CML 61 53 0 24 May 2018
Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms Liam Solus Yuhao Wang Caroline Uhler CML 143 79 0 12 Feb 2017