Learning Representations for Counterfactual Inference

12 May 2016

Papers citing "Learning Representations for Counterfactual Inference"

10 / 110 papers shown

Title
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 8 25 0 17 Oct 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 13 111 0 01 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 32 168 0 25 Sep 2018
Learning Optimal Policies from Observational Data Onur Atan W. Zame M. Schaar CML OOD OffRL 14 18 0 23 Feb 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 19 74 0 15 Feb 2018
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 54 727 0 24 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials Nir Rosenfeld Yishay Mansour E. Yom-Tov CML 59 25 0 24 Oct 2016
Estimating individual treatment effect: generalization bounds and algorithms Uri Shalit Fredrik D. Johansson David Sontag CML OOD 16 12 0 13 Jun 2016
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009