Multi-Level Cause-Effect Systems

25 December 2015

Papers citing "Multi-Level Cause-Effect Systems"

23 / 23 papers shown

Title
Nonlinear Causal Discovery for Grouped Data Konstantin Göbler Tobias Windisch Mathias Drton CML 102 0 0 05 Jun 2025
Causal reasoning in difference graphs Charles K. Assaad CML 100 0 0 02 Nov 2024
Foundations of Causal Discovery on Groups of Variables Jonas Wahl Urmi Ninad Jakob Runge CML 85 11 0 12 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 184 65 0 01 Jun 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 72 12 0 30 Jan 2023
Towards a Grounded Theory of Causation for Embodied AI Taco S. Cohen CML 81 9 0 28 Jun 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 123 22 0 13 Jun 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Causal Effect Identification in Cluster DAGs Tarandeep Anand A. Ribeiro Jin Tian Elias Bareinboim CML 67 17 0 22 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 111 109 0 07 Feb 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 100 20 0 02 Feb 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach J. Otsuka H. Saigo 66 13 0 18 Jan 2022
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas Icard Noah D. Goodman Christopher Potts CML OOD 96 76 0 01 Dec 2021
Encoding Causal Macrovariables Benedikt Höltgen CML 43 5 0 29 Nov 2021
Causal Abstractions of Neural Networks Atticus Geiger Hanson Lu Thomas Icard Christopher Potts NAI CML 80 246 0 06 Jun 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 322 0 22 Feb 2021
Invariant Representation Learning for Treatment Effect Estimation Claudia Shi Victor Veitch David M. Blei OOD CML 57 31 0 24 Nov 2020
Causal Feature Learning for Utility-Maximizing Agents David Kinney David S. Watson 97 9 0 18 May 2020
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 124 466 0 24 Nov 2019
Abstracting Causal Models Sander Beckers Joseph Y. Halpern 110 107 0 10 Dec 2018
Structural causal models for macro-variables in time-series Dominik Janzing Paul Kishan Rubenstein Bernhard Schölkopf CML 65 6 0 11 Apr 2018
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
Review of Fall Detection Techniques: A Data Availability Perspective Shehroz S. Khan Jesse Hoey 60 190 0 30 May 2016