Dynamic Inter-treatment Information Sharing for Individualized Treatment
Effects Estimation

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation

25 May 2023

Ghadeer O. Ghosheh

David A. Clifton

Papers citing "Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation"

10 / 10 papers shown

Title
In-context learning of evolving data streams with tabular foundational models Afonso Lourenço João Gama Eric P. Xing Goreti Marreiros 59 0 0 24 Feb 2025
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David A. Clifton CML 55 0 0 12 Feb 2025
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation Hechuan Wen Tong Chen Guanhua Ye Li Kheng Chai S. Sadiq Hongzhi Yin OOD 67 1 0 18 Nov 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 33 1 0 13 May 2024
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 30 2 0 27 Feb 2024
A Brief Review of Hypernetworks in Deep Learning Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David A. Clifton 25 93 0 12 Jun 2023
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation Damian Machlanski Spyridon Samothrakis Paul Clarke ELM CML 47 9 0 02 Mar 2023
Transfer Learning for Individual Treatment Effect Estimation Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 35 2 0 01 Oct 2022
HCR-Net: A deep learning based script independent handwritten character recognition network Vinod Kumar Chauhan Sukhdeep Singh Anand Sharma 35 24 0 15 Aug 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 215 719 0 12 May 2016