Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials

10 March 2022

Papers citing "Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials"

8 / 8 papers shown

Title
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning Ralf Raumanns Gerard Schouten J. Pluim V. Cheplygina 34 1 0 24 Jul 2024
A Causal Explainable Guardrails for Large Language Models Zhixuan Chu Yan Wang Longfei Li Zhibo Wang Zhan Qin Kui Ren LLMSV 52 7 0 07 May 2024
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers Tomoharu Iwata Yoichi Chikahara CML FedML 20 0 0 19 May 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 35 8 0 02 Feb 2023
Incorporating Causal Analysis into Diversified and Logical Response Generation Jiayi Liu Wei Wei Zhixuan Chu Xing Gao Ji Zhang T. Yan Yulin Kang CML 34 4 0 20 Sep 2022
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect Zhixuan Chu Hui Ding Guang Zeng Yuchen Huang T. Yan Yulin Kang Sheng Li 20 7 0 22 Aug 2022
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data Zhixuan Chu S. Rathbun Sheng Li CML OOD 52 15 0 22 Feb 2022
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016