Causes of Effects: Learning individual responses from population data

28 April 2021

Papers citing "Causes of Effects: Learning individual responses from population data"

30 / 30 papers shown

Title
Identification of Probabilities of Causation: A Complete Characterization Xin Shu Shuai Wang Ang Li 17 0 0 21 May 2025
Estimating Probabilities of Causation with Machine Learning Models Shuai Wang Ang Li CML 77 0 0 13 Feb 2025
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 69 0 0 21 Jul 2024
Probabilities of Causation for Continuous and Vector Variables Yuta Kawakami Manabu Kuroki Jin Tian 48 4 0 30 May 2024
Causality in the Can: Diet Coke's Impact on Fatness Yicheng Qi Ang Li CML 36 0 0 17 May 2024
A Dynamical View of the Question of Why Mehdi Fatemi Sindhu Gowda CML 41 1 0 14 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation Xuexin Chen Ruichu Cai Zhengting Huang Yuxuan Zhu Julien Horwood Zhifeng Hao Zijian Li Jose Miguel Hernandez-Lobato AAML 43 2 0 13 Feb 2024
Efficient Computation of Counterfactual Bounds Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber Dario Azzimonti 26 2 0 17 Jul 2023
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour Rhys Howard Lars Kunze CML 32 3 0 06 Jun 2023
Bounding the Probabilities of Benefit and Harm Through Sensitivity Parameters and Proxies J. Peña 23 2 0 08 Mar 2023
An Algorithm and Complexity Results for Causal Unit Selection Haiying Huang Adnan Darwiche CML 18 2 0 28 Feb 2023
Epsilon-Identifiability of Causal Quantities Ang Li Scott Mueller Judea Pearl CML 27 2 0 27 Jan 2023
On the Complexity of Counterfactual Reasoning Yunqiu Han Yizuo Chen Adnan Darwiche 31 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 17 2 0 14 Nov 2022
Probabilities of Causation: Role of Observational Data Ang Li Judea Pearl 40 6 0 17 Oct 2022
Learning Probabilities of Causation from Finite Population Data Ang Li Song Jiang Yizhou Sun Judea Pearl AI4CE 31 7 0 16 Oct 2022
Unit Selection: Learning Benefit Function from Finite Population Data Ang Li Song Jiang Yizhou Sun Judea Pearl 43 7 0 15 Oct 2022
Unit Selection: Case Study and Comparison with A/B Test Heuristic Ang Li Judea Pearl 37 6 0 10 Oct 2022
Probabilities of Causation: Adequate Size of Experimental and Observational Samples Ang Li Ruirui Mao Judea Pearl 57 9 0 10 Oct 2022
Unit Selection with Nonbinary Treatment and Effect Ang Li Judea Pearl 39 14 0 20 Aug 2022
Probabilities of Causation with Nonbinary Treatment and Effect Ang Li Judea Pearl CML 34 28 0 19 Aug 2022
Personalized Decision Making -- A Conceptual Introduction Scott Mueller Judea Pearl 13 42 0 19 Aug 2022
Bounding Counterfactuals under Selection Bias Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber Dario Azzimonti CML 30 8 0 26 Jul 2022
A Review of Causality for Learning Algorithms in Medical Image Analysis Athanasios Vlontzos Daniel Rueckert Bernhard Kainz OOD 51 17 0 11 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 37 2 0 10 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 31 2 0 06 Jun 2022
Counterfactual Analysis in Dynamic Latent State Models Martin Haugh Raghav Singal CML 31 6 0 27 May 2022
Unit Selection with Causal Diagram Ang Li Judea Pearl CML 20 25 0 15 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 37 82 0 08 Sep 2021
Causal Expectation-Maximisation Marco Zaffalon Alessandro Antonucci Rafael Cabañas CML 6 12 0 04 Nov 2020