DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction

DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction

2 August 2022

ArXiv (abs)PDF HTML

Papers citing "DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction"

18 / 18 papers shown

Title
Unsuitability of NOTEARS for Causal Graph Discovery Marcus Kaiser Maksim Sipos CML 98 66 0 12 Apr 2021
Deep Visual Domain Adaptation G. Csurka OOD 201 185 0 28 Dec 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 102 131 0 18 Jun 2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Xiang Jiang Qicheng Lao Stan Matwin Mohammad Havaei 73 112 0 09 Jun 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 114 44 0 18 Apr 2020
Improving Model Robustness Using Causal Knowledge T. Kyono M. Schaar OOD 51 12 0 27 Nov 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation Seung-Min Lee Dongwan Kim Namil Kim Seong-Gyun Jeong TTA OOD 41 181 0 12 Oct 2019
Causal Induction from Visual Observations for Goal Directed Tasks Sunjay Cauligi Yuke Zhu D. Stefan Tamara Rezk CML LRM 73 65 0 03 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 107 169 0 02 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 165 260 0 29 Sep 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 64 275 0 05 Jun 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 105 202 0 24 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 82 489 0 22 Apr 2019
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 70 762 0 08 Oct 2018
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 68 184 0 27 May 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 220 4,288 0 04 Jun 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 94 612 0 27 Jun 2012
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 231 4,326 0 04 May 2011