A General Algorithm for Deciding Transportability of Experimental Results

29 December 2013

Papers citing "A General Algorithm for Deciding Transportability of Experimental Results"

25 / 25 papers shown

Title
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gaël Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 67 0 0 08 Oct 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 89 2 0 17 Mar 2024
Neural Causal Abstractions K. Xia Elias Bareinboim CML NAI 103 7 0 05 Jan 2024
Towards a Transportable Causal Network Model Based on Observational Healthcare Data Alice Bernasconi Alessio Zanga Peter J.F. Lucas M. Scutari Fabio Stella CML OOD 52 2 0 13 Nov 2023
Simulation Experiments as a Causal Problem Tyrel Stokes I. Shrier R. Steele CML 22 1 0 21 Aug 2023
Causal reasoning in typical computer vision tasks Kexuan Zhang Qiyu Sun Chaoqiang Zhao Yang Tang CML 95 13 0 26 Jul 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Ruta Binkyt.e D. Gorla C. Palamidessi FaML 47 1 0 06 Jul 2023
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials M. Valancius Herbert Pang Jiawen Zhu Stephen R. Cole M. J. Funk Michael R. Kosorok CML 65 4 0 15 May 2023
Causal Discovery with Stage Variables for Health Time Series Bharat Srikishan Samantha Kleinberg CML 44 0 0 05 May 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 99 2 0 16 Apr 2023
Causal Transportability for Visual Recognition Chengzhi Mao K. Xia James Wang Hongya Wang Junfeng Yang Elias Bareinboim Carl Vondrick CML OOD BDL 111 35 0 26 Apr 2022
Building Object-based Causal Programs for Human-like Generalization Bonan Zhao Christopher G. Lucas Neil R. Bramley 13 0 0 20 Nov 2021
Switching Contexts: Transportability Measures for NLP G. Marshall Mokanarangan Thayaparan P. Osborne André Freitas OT 30 1 0 03 May 2021
Causal Markov Boundaries Sofia Triantafillou Fattaneh Jabbari Gregory F. Cooper CML OOD 55 5 0 12 Mar 2021
Causal Inference With Selectively Deconfounded Data Kyra Gan Andrew A. Li Zachary Chase Lipton S. Tayur CML 75 7 0 25 Feb 2020
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 89 164 0 08 Mar 2019
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach Santtu Tikka Antti Hyttinen Juha Karvanen CML 174 31 0 04 Feb 2019
Removing Hidden Confounding by Experimental Grounding Nathan Kallus A. Puli Uri Shalit CML 123 147 0 27 Oct 2018
A Primer on Causality in Data Science H. Saddiki Laura B. Balzer CML 14 8 0 07 Sep 2018
Surrogate Outcomes and Transportability Santtu Tikka Juha Karvanen CML 64 5 0 19 Jun 2018
Simplifying Probabilistic Expressions in Causal Inference Santtu Tikka Juha Karvanen CML 65 13 0 19 Jun 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 149 237 0 20 Jul 2017
Causal inference for data-driven debugging and decision making in cloud computing Philipp Geiger Lucian Carata B. Schoelkopf 88 1 0 04 Mar 2016
External Validity: From Do-Calculus to Transportability Across Populations Judea Pearl Elias Bareinboim 84 333 0 05 Mar 2015
Study design in causal models Juha Karvanen CML 109 33 0 13 Nov 2012