Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck

24 May 2024

Papers citing "Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck"

5 / 5 papers shown

Title
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen J. Schweisthal Stefan Feuerriegel CML OOD BDL 51 2 0 06 Feb 2025
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation Hao Wang Zhichao Chen Yuan Shen Jiajun Fan Zhaoran Liu Degui Yang Xinggao Liu Haoxuan Li 30 0 0 01 Jul 2024
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 25 12 0 06 Oct 2022
Regularized Optimal Transport and the Rot Mover's Distance Arnaud Dessein Nicolas Papadakis Jean-Luc Rouas OT 51 84 0 20 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 718 0 12 May 2016