Estimating Counterfactual Treatment Outcomes over Time Through
Adversarially Balanced Representations

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

10 February 2020

Papers citing "Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations"

16 / 16 papers shown

Title
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 122 0 0 04 Oct 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 112 7 0 07 Jul 2024
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 160 2 0 16 Oct 2023
Multi-Domain Adversarial Learning Alice Schoenauer Sebag Louise Heinrich Marc Schoenauer Michele Sebag Lani F. Wu S. Altschuler OOD 47 61 0 21 Mar 2019
Learning Optimal Policies from Observational Data Onur Atan W. Zame M. Schaar CML OOD OffRL 55 18 0 23 Feb 2018
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 170 302 0 10 Apr 2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions Hossein Soleimani Adarsh Subbaswamy Suchi Saria CML 30 23 0 06 Apr 2017
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences Daniel Neil Michael Pfeiffer Shih-Chii Liu AI4TS 66 448 0 29 Oct 2016
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves Yanbo Xu Yanxun Xu Suchi Saria CML 85 40 0 18 Aug 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 280 729 0 12 May 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 185 1,650 0 16 Dec 2015
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning Nan Jiang Lihong Li OffRL 200 623 0 11 Nov 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 375 9,486 0 28 May 2015
Off-policy evaluation for MDPs with unknown structure Assaf Hallak François Schnitzler Timothy A. Mann Shie Mannor OffRL 47 27 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012