Partial Counterfactual Identification from Observational and Experimental Data

12 October 2021

Papers citing "Partial Counterfactual Identification from Observational and Experimental Data"

43 / 43 papers shown

Title
Partial Transportability for Domain Generalization Kasra Jalaldoust Alexis Bellot Elias Bareinboim OOD 77 5 0 30 Mar 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo K. Zhang 67 0 0 10 Feb 2025
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments Jordan Penn L. Gunderson Gecia Bravo Hermsdorff Ricardo M. A. Silva David S. Watson 30 0 0 11 Nov 2024
Estimating Causal Effects from Learned Causal Networks Anna K. Raichev Alexander Ihler Jin Tian Rina Dechter CML 24 3 0 26 Aug 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 27 2 0 24 May 2024
From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy Julian Dörfler Benito van der Zander Markus Bläser Maciej Liskiewicz LRM 28 1 0 12 May 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot Alessandro Leite Nicolas Chesneau Michèle Sébag Marc Schoenauer 54 3 0 08 May 2024
Bounding Causal Effects with Leaky Instruments David S. Watson Jordan Penn L. Gunderson Gecia Bravo Hermsdorff Afsaneh Mastouri Ricardo M. A. Silva CML 23 1 0 05 Apr 2024
Counterfactual Influence in Markov Decision Processes M. Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 21 1 0 13 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 30 5 0 07 Feb 2024
Tightening Bounds on Probabilities of Causation By Merging Datasets Numair Sani Atalanti A. Mastakouri 21 1 0 12 Oct 2023
Tractable Bounding of Counterfactual Queries by Knowledge Compilation David Huber Yizuo Chen Alessandro Antonucci Adnan Darwiche Marco Zaffalon TPM 13 4 0 05 Oct 2023
Estimation of Counterfactual Interventions under Uncertainties Juliane Weilbach S. Gerwinn M. Kandemir Martin Fraenzle 29 0 0 15 Sep 2023
Scalable Computation of Causal Bounds Madhumitha Shridharan G. Iyengar 22 1 0 04 Aug 2023
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber 16 5 0 31 Jul 2023
Efficient Computation of Counterfactual Bounds Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber Dario Azzimonti 15 2 0 17 Jul 2023
Approximate Causal Effect Identification under Weak Confounding Ziwei Jiang Lai Wei Murat Kocaoglu CML 25 0 0 22 Jun 2023
Reconciling Predictive and Statistical Parity: A Causal Approach Drago Plečko Elias Bareinboim FaML 22 2 0 08 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 22 9 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 16 11 0 02 Jun 2023
Bounding probabilities of causation through the causal marginal problem Numair Sani Atalanti A. Mastakouri Dominik Janzing CML 18 3 0 04 Apr 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 35 26 0 04 Feb 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 24 11 0 22 Jan 2023
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data Marco Zaffalon Alessandro Antonucci David Huber Rafael Cabañas OOD CML 28 0 0 06 Dec 2022
On the Complexity of Counterfactual Reasoning Yunqiu Han Yizuo Chen Adnan Darwiche 16 6 0 24 Nov 2022
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment Théo Verhelst Denis Mercier Jeevan Shrestha Gianluca Bontempi CML 9 2 0 14 Nov 2022
Unit Selection: Learning Benefit Function from Finite Population Data Ang Li Song Jiang Yizhou Sun Judea Pearl 30 7 0 15 Oct 2022
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 23 19 0 14 Oct 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Yizhou Zhang Defu Cao Y. Liu CML 19 23 0 14 Oct 2022
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 37 1 0 13 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 41 32 0 30 Sep 2022
Partial Counterfactual Identification for Infinite Horizon Partially Observable Markov Decision Process Aditya Kelvianto Sidharta OffRL 16 0 0 31 Aug 2022
Unit Selection with Nonbinary Treatment and Effect Ang Li Judea Pearl 31 14 0 20 Aug 2022
Probabilities of Causation with Nonbinary Treatment and Effect Ang Li Judea Pearl CML 24 27 0 19 Aug 2022
Bounding Counterfactuals under Selection Bias Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber Dario Azzimonti CML 14 8 0 26 Jul 2022
Counterfactual Analysis in Dynamic Latent State Models Martin Haugh Raghav Singal CML 18 6 0 27 May 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 23 27 0 27 Apr 2022
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 28 26 0 22 Feb 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 25 19 0 02 Feb 2022
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 26 16 0 04 Sep 2021
Combining Interventional and Observational Data Using Causal Reductions Maximilian Ilse Patrick Forré Max Welling Joris M. Mooij OOD CML 25 0 0 08 Mar 2021
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference Sam Witty David D. Jensen Vikash K. Mansinghka CML 13 3 0 23 Feb 2021