$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap

11 October 2021

Papers citing "$β$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap"

32 / 32 papers shown

Title
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning Ruichu Cai Junjie Wan Weilin Chen Zeqin Yang Zijian Li Peng Zhen Jiecheng Guo CML 139 1 0 08 May 2025
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 63 3 0 30 Sep 2021
Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap Alexander DÁmour Alexander M. Franks CML 46 10 0 12 Apr 2021
Estimating Average Treatment Effects with Support Vector Machines Alexander Tarr Kosuke Imai 55 8 0 23 Feb 2021
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding Pengzhou (Abel) Wu Kenji Fukumizu CML 70 13 0 17 Jan 2021
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score Alejandro Schuler D. Walsh D.F. Hall J. Walsh Charles K. Fisher 66 35 0 17 Dec 2020
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 68 14 0 04 Nov 2020
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review A. Caron G. Baio I. Manolopoulou CML 85 55 0 14 Sep 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models Andrew Jesson Sören Mindermann Uri Shalit Y. Gal CML 59 74 0 01 Jul 2020
Treatment effect estimation with disentangled latent factors Weijia Zhang Lin Liu Jiuyong Li CML 78 89 0 29 Jan 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 95 100 0 21 Jan 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) Peter Sorrenson Carsten Rother Ullrich Kothe DRL CML 73 121 0 14 Jan 2020
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method Pengzhou (Abel) Wu Kenji Fukumizu CML 87 27 0 07 Jan 2020
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 77 598 0 10 Jul 2019
Characterization of Overlap in Observational Studies Michael Oberst Fredrik D. Johansson Dennis L. Wei Tian Gao G. Brat David Sontag Kush R. Varshney CML 50 22 0 09 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 124 2,372 0 06 Jun 2019
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 152 376 0 05 Jun 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 79 164 0 08 Mar 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 76 58 0 11 Feb 2019
Overlap in Observational Studies with High-Dimensional Covariates Alexander DÁmour Peng Ding Avi Feller Lihua Lei Jasjeet Sekhon 159 194 0 07 Nov 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 225 749 0 24 May 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 177 304 0 10 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 682 29,183 0 09 Sep 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 101 1,749 0 19 Jun 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 306 729 0 12 May 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 382 2,496 0 14 Oct 2015
Nonparametric instrumental variable estimation under monotonicity Denis Chetverikov Daniel Wilhelm 66 56 0 19 Jul 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 105 2,746 0 20 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 464 16,922 0 20 Dec 2013
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations M. Farrell 339 343 0 18 Sep 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 222 4,294 0 04 Jun 2013
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 163 307 0 23 Apr 2008

βββ-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap

Papers citing "$β$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap"

$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap