DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect
Estimation

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DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

19 July 2022

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Papers citing "DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation"

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Title
The Estimation of Continual Causal Effect for Dataset Shifting Streams Baining Chen Yiming Zhang Yuqiao Han Ruyue Zhang Ruihuan Du Zhishuo Zhou Zhengdan Zhu Xun Liu Jiecheng Guo 411 0 0 29 Apr 2025
Using Deep Autoregressive Models as Causal Inference Engines Daniel Jiwoong Im Kevin Zhang Nakul Verma Kyunghyun Cho CML 68 1 0 27 Sep 2024
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 81 0 0 01 Jul 2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing Yinqiu Huang Shuli Wang Min Gao Xue Wei Changhao Li Chuan Luo Yinhua Zhu Xiong Xiao Yi Luo 71 3 0 04 Feb 2024
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 87 12 0 09 Aug 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing Dugang Liu Xing Tang Han Gao Fuyuan Lyu Xiuqiang He 75 16 0 01 Jun 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 76 8 0 19 Sep 2022