NCoRE: Neural Counterfactual Representation Learning for Combinations of
Treatments

NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments

20 March 2021

Stefan Bauer

Papers citing "NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments"

6 / 6 papers shown

Title
Deep Causal Learning for Robotic Intelligence Yongqian Li CML 37 5 0 23 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 25 20 0 08 Oct 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 24 29 0 02 Feb 2022
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 26 16 0 04 Sep 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016