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Causes of Effects: Learning individual responses from population data

Causes of Effects: Learning individual responses from population data

28 April 2021
Scott Mueller
Ang Li
Judea Pearl
    CML
ArXivPDFHTML

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

17 / 17 papers shown
Title
Estimating Probabilities of Causation with Machine Learning Models
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
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
Feature Attribution with Necessity and Sufficiency via Dual-stage
  Perturbation Test for Causal Explanation
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
Efficient Computation of Counterfactual Bounds
Marco Zaffalon
Alessandro Antonucci
Rafael Cabañas
David Huber
Dario Azzimonti
26
2
0
17 Jul 2023
An Algorithm and Complexity Results for Causal Unit Selection
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
Epsilon-Identifiability of Causal Quantities
Ang Li
Scott Mueller
Judea Pearl
CML
24
2
0
27 Jan 2023
On the Complexity of Counterfactual Reasoning
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
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
Unit Selection: Case Study and Comparison with A/B Test Heuristic
Unit Selection: Case Study and Comparison with A/B Test Heuristic
Ang Li
Judea Pearl
37
6
0
10 Oct 2022
Unit Selection with Nonbinary Treatment and Effect
Unit Selection with Nonbinary Treatment and Effect
Ang Li
Judea Pearl
39
14
0
20 Aug 2022
Personalized Decision Making -- A Conceptual Introduction
Personalized Decision Making -- A Conceptual Introduction
Scott Mueller
Judea Pearl
13
42
0
19 Aug 2022
Bounding Counterfactuals under Selection Bias
Bounding Counterfactuals under Selection Bias
Marco Zaffalon
Alessandro Antonucci
Rafael Cabañas
David Huber
Dario Azzimonti
CML
30
8
0
26 Jul 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social
  Scientists
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
Is More Data All You Need? A Causal Exploration
Athanasios Vlontzos
Hadrien Reynaud
Bernhard Kainz
CML
29
2
0
06 Jun 2022
Counterfactual Analysis in Dynamic Latent State Models
Counterfactual Analysis in Dynamic Latent State Models
Martin Haugh
Raghav Singal
CML
31
6
0
27 May 2022
Unit Selection with Causal Diagram
Unit Selection with Causal Diagram
Ang Li
Judea Pearl
CML
20
25
0
15 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
37
82
0
08 Sep 2021
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