Adversarial De-confounding in Individualised Treatment Effects
Estimation

Adversarial De-confounding in Individualised Treatment Effects Estimation

19 October 2022

Vinod Kumar Chauhan

Marzia Hoque Tania

David A. Clifton

Papers citing "Adversarial De-confounding in Individualised Treatment Effects Estimation"

11 / 11 papers shown

Title
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David A. Clifton CML 63 0 0 12 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 81 0 0 07 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen J. Schweisthal Stefan Feuerriegel CML OOD BDL 61 2 0 06 Feb 2025
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning Pengfei Shi Wei Zhong Xinyu Zhang Ningtao Wang Xing Fu Weiqiang Wang Yin Jin CML BDL 21 0 0 30 Aug 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML OOD 46 1 0 06 Jun 2024
Sample Selection Bias in Machine Learning for Healthcare V. Chauhan Lei A. Clifton Achille Salaün Huiqi Yvonne Lu Kim Branson Patrick Schwab Gaurav Nigam David A. Clifton 49 1 0 13 May 2024
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction Sriprabha Ramanarayanan Mohammad Al Fahim R. G. S. Amrit Kumar Jethi Keerthi Ram M. Sivaprakasam 33 2 0 09 Aug 2023
A Brief Review of Hypernetworks in Deep Learning Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David A. Clifton 27 94 0 12 Jun 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 30 8 0 25 May 2023
HCR-Net: A deep learning based script independent handwritten character recognition network Vinod Kumar Chauhan Sukhdeep Singh Anand Sharma 40 24 0 15 Aug 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016