Probabilities of Causation: Bounds and Identification

16 January 2013

Papers citing "Probabilities of Causation: Bounds and Identification"

50 / 68 papers shown

Title
Abstract Counterfactuals for Language Model Agents Edoardo Pona Milad Kazemi Yali Du David Watson Nicola Paoletti LLMAG 76 0 0 03 Jun 2025
Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality Lance Ying Almog Hillel Ryan Truong Vikash K. Mansinghka Joshua B. Tenenbaum Tan Zhi-Xuan FAtt 144 0 0 26 May 2025
Estimating Probabilities of Causation with Machine Learning Models Shuai Wang Ang Li CML 155 0 0 13 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo Kai Zhang 93 0 0 10 Feb 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zijian Li 123 8 0 31 Dec 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 160 0 0 23 Nov 2024
Counterfactual explainability of black-box prediction models Zijun Gao Qingyuan Zhao CML 60 0 0 03 Nov 2024
Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes Chao Zhang Z. Geng Wei Li Peng Ding CML 24 2 0 02 Nov 2024
Bounding the probability of causality under ordinal outcomes Hanmei Sun Chengfeng Shi Qiang Zhao 31 0 0 14 Sep 2024
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models Javier González Aditya V. Nori LRM 159 4 0 15 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 134 0 0 21 Jul 2024
Causality in the Can: Diet Coke's Impact on Fatness Yicheng Qi Ang Li CML 40 0 0 17 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 60 1 0 30 Apr 2024
A Dynamical View of the Question of Why Mehdi Fatemi Sindhu Gowda CML 79 1 0 14 Feb 2024
Unifying Invariance and Spuriousity 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 78 2 0 14 Feb 2024
Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury Izak A. R. Yasrebi-de Kom J. Klopotowska Dave A. Dongelmans N. D. Keizer Kitty Jager Ameen Abu-Hanna Giovanni Cina CML 28 0 0 15 Nov 2023
Individual Causation with Biased Data M. Musio Philip Dawid 30 0 0 14 Nov 2023
Tightening Bounds on Probabilities of Causation By Merging Datasets Numair Sani Atalanti A. Mastakouri 81 1 0 12 Oct 2023
Constructing Synthetic Treatment Groups without the Mean Exchangeability Assumption Yuhang Zhang Yue Liu Zhihua Zhang 55 0 0 28 Sep 2023
On the Probability of Immunity Jose M. Pena 171 0 0 21 Sep 2023
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity Heyang Gong 36 0 0 17 Sep 2023
Causality-Based Feature Importance Quantifying Methods: PN-FI, PS-FI and PNS-FI S. Du Yaxiu Sun Changying Du 40 0 0 28 Aug 2023
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber 80 6 0 31 Jul 2023
Approximate Causal Effect Identification under Weak Confounding Ziwei Jiang Lai Wei Murat Kocaoglu CML 61 0 0 22 Jun 2023
Reconciling Predictive and Statistical Parity: A Causal Approach Drago Plečko Elias Bareinboim FaML 54 2 0 08 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 122 11 0 02 Jun 2023
Bounding probabilities of causation through the causal marginal problem Numair Sani Atalanti A. Mastakouri Dominik Janzing CML 109 4 0 04 Apr 2023
Bounding the Probabilities of Benefit and Harm Through Sensitivity Parameters and Proxies J. Peña 52 3 0 08 Mar 2023
An Algorithm and Complexity Results for Causal Unit Selection Haiying Huang Adnan Darwiche CML 65 2 0 28 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 113 27 0 04 Feb 2023
On Learning Necessary and Sufficient Causal Graphs Hengrui Cai Yixin Wang Michael Jordan Rui Song CML 83 12 0 29 Jan 2023
Epsilon-Identifiability of Causal Quantities Ang Li Scott Mueller Judea Pearl CML 64 2 0 27 Jan 2023
On the Complexity of Counterfactual Reasoning Yunqiu Han Yizuo Chen Adnan Darwiche 62 7 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 43 2 0 14 Nov 2022
Probabilities of Causation: Role of Observational Data Ang Li Judea Pearl 76 7 0 17 Oct 2022
Learning Probabilities of Causation from Finite Population Data Ang Li Song Jiang Yizhou Sun Judea Pearl AI4CE 57 7 0 16 Oct 2022
Unit Selection: Case Study and Comparison with A/B Test Heuristic Ang Li Judea Pearl 55 6 0 10 Oct 2022
Probabilities of Causation: Adequate Size of Experimental and Observational Samples Ang Li Ruirui Mao Judea Pearl 77 9 0 10 Oct 2022
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health Yi Shen J. Dunn Michael M. Zavlanos 47 1 0 09 Sep 2022
Probabilities of Causation with Nonbinary Treatment and Effect Ang Li Judea Pearl CML 67 28 0 19 Aug 2022
Personalized Decision Making -- A Conceptual Introduction Scott Mueller Judea Pearl 57 45 0 19 Aug 2022
Counterfactual Analysis in Dynamic Latent State Models Martin Haugh Raghav Singal CML 88 6 0 27 May 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 108 29 0 27 Apr 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
Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang Jin Tian Elias Bareinboim 71 64 0 12 Oct 2021
Unit Selection with Causal Diagram Ang Li Judea Pearl CML 54 25 0 15 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 80 84 0 08 Sep 2021
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 113 17 0 04 Sep 2021
A Topological Perspective on Causal Inference D. Ibeling Thomas Icard AI4CE 37 9 0 18 Jul 2021
Bounds on Causal Effects and Application to High Dimensional Data Ang Li Judea Pearl CML 42 23 0 23 Jun 2021