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TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis

TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis

26 April 2025
Hangtao Zhang
Zhe Li
Kai Zhang
ArXiv (abs)PDFHTML

Papers citing "TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis"

9 / 9 papers shown
Title
Deep Learning of Causal Structures in High Dimensions
Deep Learning of Causal Structures in High Dimensions
Kai Lagemann
C. Lagemann
B. Taschler
S. Mukherjee
CMLBDLAI4CE
47
30
0
09 Dec 2022
Estimating Average Treatment Effects via Orthogonal Regularization
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt
Stefan Feuerriegel
CML
190
36
0
21 Jan 2021
Estimating Individual Treatment Effects with Time-Varying Confounders
Estimating Individual Treatment Effects with Time-Varying Confounders
Ruoqi Liu
Changchang Yin
Ping Zhang
CML
74
27
0
27 Aug 2020
Learning Decomposed Representation for Counterfactual Inference
Learning Decomposed Representation for Counterfactual Inference
Anpeng Wu
Kun Kuang
Junkun Yuan
Bo Li
Jianrong Tao
Qiang Zhu
Yueting Zhuang
Leilei Gan
CML
43
21
0
12 Jun 2020
Estimating the Effects of Continuous-valued Interventions using
  Generative Adversarial Networks
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica
James Jordon
M. Schaar
CML
70
106
0
27 Feb 2020
A Survey on Causal Inference
A Survey on Causal Inference
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
95
509
0
05 Feb 2020
Adapting Neural Networks for the Estimation of Treatment Effects
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi
David M. Blei
Victor Veitch
CML
148
376
0
05 Jun 2019
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CMLBDL
206
744
0
24 May 2017
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CMLOODBDL
282
730
0
12 May 2016
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