Uplift Modeling from Separate Labels

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Uplift Modeling from Separate Labels

14 March 2018

Jamal Atif

Masashi Sugiyama

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Papers citing "Uplift Modeling from Separate Labels"

9 / 9 papers shown

Title
Adversarial Generalized Method of Moments Greg Lewis Vasilis Syrgkanis GAN 38 59 0 19 Mar 2018
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 926 0 12 Jun 2017
Trimmed Density Ratio Estimation Song Liu Akiko Takeda Taiji Suzuki Kenji Fukumizu 27 19 0 09 Mar 2017
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed Damien Lefortier Adith Swaminathan Xiaotao Gu Thorsten Joachims Maarten de Rijke OffRL CML 46 43 0 01 Dec 2016
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 325 1,360 0 05 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 282 730 0 12 May 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 352 2,486 0 14 Oct 2015
Relative Density-Ratio Estimation for Robust Distribution Comparison M. Yamada Taiji Suzuki Takafumi Kanamori Hirotaka Hachiya Masashi Sugiyama 92 221 0 23 Jun 2011
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 225 803 0 04 Sep 2008