CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution

21 December 2021

Papers citing "CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution"

6 / 6 papers shown

Title
LiDDA: Data Driven Attribution at LinkedIn John Bencina Erkut Aykutlug Yue Chen Zerui Zhang Stephanie Sorenson Shao Tang Changshuai Wei 65 0 0 14 May 2025
Interpretable Deep Learning Model for Online Multi-touch Attribution Dongdong Yang Kevin P. Dyer Senzhang Wang FAtt 16 10 0 26 Mar 2020
Attribution Modeling Increases Efficiency of Bidding in Display Advertising Eustache Diemert Julien Meynet Pierre Galland Damien Lefortier 42 55 0 20 Jul 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 164 302 0 10 Apr 2017
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 280 729 0 12 May 2016
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 83 247 0 20 Dec 2014