Deep Causal Learning: Representation, Discovery and Inference

7 November 2022

Papers citing "Deep Causal Learning: Representation, Discovery and Inference"

27 / 77 papers shown

Title
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality Saurabh Khanna Vincent Y. F. Tan AI4TS 69 72 0 22 Nov 2019
A Graph Autoencoder Approach to Causal Structure Learning Ignavier Ng Shengyu Zhu Zhitang Chen Zhuangyan Fang BDL CML 71 83 0 18 Nov 2019
Deep causal representation learning for unsupervised domain adaptation Raha Moraffah Kai Shu A. Raglin Huan Liu CML OOD 88 11 0 28 Oct 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 115 170 0 02 Oct 2019
Explaining Visual Models by Causal Attribution Álvaro Parafita Jordi Vitrià CML FAtt 103 35 0 19 Sep 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 124 2,372 0 06 Jun 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 85 276 0 05 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
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data Xin Du Lei Sun W. Duivesteijn Alexander G. Nikolaev Mykola Pechenizkiy OOD CML 52 44 0 30 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 89 490 0 22 Apr 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 88 230 0 05 Mar 2019
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab Lorenz Linhardt Stefan Bauer J. M. Buhmann W. Karlen CML OOD 89 135 0 03 Feb 2019
Explaining Deep Learning Models using Causal Inference Tanmayee Narendra A. Sankaran Deepak Vijaykeerthy Senthil Mani CML 60 52 0 11 Nov 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 138 162 0 31 Oct 2018
Counterfactual Fairness in Text Classification through Robustness Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Chi Alex Beutel 102 261 0 27 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 63 168 0 25 Sep 2018
Gender Bias in Neural Natural Language Processing Kaiji Lu Piotr (Peter) Mardziel Fangjing Wu Preetam Amancharla Anupam Datta 117 360 0 31 Jul 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 78 77 0 15 Feb 2018
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 98 257 0 06 Sep 2017
Deep Counterfactual Networks with Propensity-Dropout Ahmed Alaa M. Weisz M. Schaar CML OOD BDL 60 86 0 19 Jun 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
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 155 3,595 0 21 Nov 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 306 730 0 12 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 891 9,364 0 06 Jun 2015
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure Antti Hyttinen P. Hoyer F. Eberhardt Matti Järvisalo CML 95 90 0 26 Sep 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012
Learning high-dimensional directed acyclic graphs with latent and selection variables Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 132 467 0 29 Apr 2011