Decision-theoretic foundations for statistical causality

26 April 2020

Papers citing "Decision-theoretic foundations for statistical causality"

27 / 27 papers shown

Title
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 249 0 0 31 Jan 2025
Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs Silvana Tiedemann Jorge Sanchez Canales Felix Schur Raffaele Sgarlato Lion Hirth Oliver Ruhnau Jonas Peters 41 1 0 23 Sep 2024
General targeted machine learning for modern causal mediation analysis Richard Liu Nicholas T. Williams Kara E. Rudolph Iván Díaz CML 30 3 0 26 Aug 2024
Causal modelling without introducing counterfactuals or abstract distributions Benedikt Höltgen Robert C. Williamson CML 35 0 0 24 Jul 2024
Structured Learning of Compositional Sequential Interventions Jialin Yu Andreas Koukorinis Nicolo Colombo Yuchen Zhu Ricardo Silva CML 66 1 0 09 Jun 2024
Do Finetti: On Causal Effects for Exchangeable Data Siyuan Guo Chi Zhang Karthika Mohan Ferenc Huszár Bernhard Schölkopf 71 5 0 29 May 2024
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models Alvaro Ribot C. Squires Caroline Uhler 76 2 0 22 Feb 2024
What Is a Causal Graph? Philip Dawid CML 32 3 0 24 Jan 2024
Individual Causation with Biased Data M. Musio Philip Dawid 23 0 0 14 Nov 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth P. M. Faller L. C. Vankadara Atalanti A. Mastakouri Francesco Locatello Dominik Janzing Karlsruhe Institute of Technology CML 87 16 0 18 Jul 2023
Semiparametric posterior corrections Andrew Yiu Edwin Fong Chris Holmes Judith Rousseau 228 4 0 09 Jun 2023
Intervention Generalization: A View from Factor Graph Models Gecia Bravo Hermsdorff David S. Watson Jialin Yu Jakob Zeitler Ricardo M. A. Silva CML 77 6 0 06 Jun 2023
A Measure-Theoretic Axiomatisation of Causality Junhyung Park Simon Buchholz Bernhard Schölkopf Krikamol Muandet 82 5 0 19 May 2023
Axiomatization of Interventional Probability Distributions Kayvan Sadeghi Terry Soo 60 4 0 08 May 2023
Potential Outcome and Decision Theoretic Foundations for Statistical Causality Thomas S. Richardson J. M. Robins CML 13 5 0 08 Feb 2023
Personalised Decision-Making without Counterfactuals A. Dawid S. Senn OffRL 51 5 0 27 Jan 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Siyuan Guo V. Tóth Bernhard Schölkopf Ferenc Huszár CML 106 37 0 29 Mar 2022
Causal Reinforcement Learning using Observational and Interventional Data Maxime Gasse Damien Grasset Guillaume Gaudron Pierre-Yves Oudeyer CML OffRL 85 52 0 28 Jun 2021
Rational Shapley Values David S. Watson 77 21 0 18 Jun 2021
Operationalizing Complex Causes: A Pragmatic View of Mediation Limor Gultchin David S. Watson Matt J. Kusner Ricardo M. A. Silva CML 69 5 0 09 Jun 2021
Effects of Causes and Causes of Effects A. Dawid M. Musio CML 37 12 0 31 Mar 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 81 64 0 27 Mar 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
Causal Bandits without prior knowledge using separating sets A. D. Kroon Danielle Belgrave Joris M. Mooij CML 50 23 0 16 Sep 2020
Deconfounding and Causal Regularization for Stability and External Validity Peter Buhlmann Domagoj Cevid CML 49 11 0 14 Aug 2020
Conditional separable effects M. Stensrud J. M. Robins Aaron L Sarvet Eric J. Tchetgen Tchetgen Jessica G. Young CML 16 34 0 28 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 112 7 0 02 Jun 2020