Personalized Decision Making -- A Conceptual Introduction

19 August 2022

Papers citing "Personalized Decision Making -- A Conceptual Introduction"

22 / 22 papers shown

Title
Identification of Probabilities of Causation: A Complete Characterization Xin Shu Shuai Wang Ang Li 34 0 0 21 May 2025
Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners Rebecca Knowlton Layla Parast 34 0 0 21 Apr 2025
End-To-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan Leonardo Cotta Karen Ullrich Rahul G. Krishnan Chris J. Maddison SyDa CML 3DV 104 11 0 09 Jul 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 83 3 0 01 Jun 2024
Nondeterministic Causal Models Sander Beckers 104 1 0 22 May 2024
Distribution-consistency Structural Causal Models Heyang Gong Chaochao Lu Yu Zhang 34 1 0 29 Jan 2024
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 216 2 0 16 Oct 2023
Tightening Bounds on Probabilities of Causation By Merging Datasets Numair Sani Atalanti A. Mastakouri 81 1 0 12 Oct 2023
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity Heyang Gong 38 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
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
Epsilon-Identifiability of Causal Quantities Ang Li Scott Mueller Judea Pearl CML 72 2 0 27 Jan 2023
Personalised Decision-Making without Counterfactuals A. Dawid S. Senn OffRL 51 5 0 27 Jan 2023
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data Marco Zaffalon Alessandro Antonucci David Huber Rafael Cabañas OOD CML 73 0 0 06 Dec 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
Probabilities of Causation: Adequate Size of Experimental and Observational Samples Ang Li Ruirui Mao Judea Pearl 77 9 0 10 Oct 2022
Probabilities of Causation with Nonbinary Treatment and Effect Ang Li Judea Pearl CML 67 28 0 19 Aug 2022
A Causal Approach for Business Optimization: Application on an Online Marketplace Naama Parush Ohad Levinkron-Fisch H. Shteingart Amir Bar Sela Amir Zilberman Jake Klein 35 0 0 04 Jul 2022