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"

8 / 8 papers shown

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 68 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 114 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

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