Detecting hidden confounding in observational data using multiple
environments

Detecting hidden confounding in observational data using multiple environments

27 May 2022

Jesse H. Krijthe

Papers citing "Detecting hidden confounding in observational data using multiple environments"

14 / 14 papers shown

Title
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 112 1 0 10 Feb 2025
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Siyuan Guo V. Tóth Bernhard Schölkopf Ferenc Huszár CML 39 37 0 29 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 71 31 0 25 Feb 2022
Long-term Causal Inference Under Persistent Confounding via Data Combination Guido Imbens Nathan Kallus Xiaojie Mao Yuhao Wang CML 74 47 0 15 Feb 2022
Semi-Supervised Learning, Causality and the Conditional Cluster Assumption Julius von Kügelgen A. Mey Marco Loog Bernhard Schölkopf CML 49 26 0 28 May 2019
Removing Hidden Confounding by Experimental Grounding Nathan Kallus A. Puli Uri Shalit CML 95 146 0 27 Oct 2018
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 198 743 0 24 May 2017
Detecting confounding in multivariate linear models via spectral analysis Dominik Janzing B. Schoelkopf 35 40 0 05 Apr 2017
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 114 969 0 06 Jan 2015
Counterfactual Probabilities: Computational Methods, Bounds and Applications Alexander Balke Judea Pearl 65 255 0 27 Feb 2013
Strong Completeness and Faithfulness in Bayesian Networks Christopher Meek 104 309 0 20 Feb 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 81 607 0 27 Jun 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 91 627 0 14 Feb 2012
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 160 306 0 23 Apr 2008