Causal Discovery from Changes

10 January 2013

Papers citing "Causal Discovery from Changes"

19 / 19 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 82 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 86 7 0 13 Mar 2025
Causal reasoning in difference graphs Charles K. Assaad CML 29 0 0 02 Nov 2024
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 21 37 0 17 May 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Y. Liu CML 24 2 0 19 Feb 2023
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 11 6 0 19 Oct 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 30 48 0 04 Jun 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 15 60 0 25 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 17 45 0 01 Apr 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De Toni Bruno Lepri Andrea Passerini CML 19 13 0 18 Jan 2022
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 79 17 0 24 Sep 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 31 108 0 08 Mar 2021
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 25 178 0 11 Jun 2020
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 28 332 0 30 Jan 2019
Joint Causal Inference from Multiple Contexts Joris M. Mooij Sara Magliacane Tom Claassen CML 22 15 0 30 Nov 2016
Ancestral Causal Inference Sara Magliacane Tom Claassen Joris M. Mooij CML 16 61 0 22 Jun 2016
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 24 71 0 08 Jun 2015
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 43 420 0 14 Apr 2011