v1v2v3 (latest)

Masked Gradient-Based Causal Structure Learning

SDM (SDM), 2019

18 October 2019

Papers citing "Masked Gradient-Based Causal Structure Learning"

38 / 88 papers shown

Title
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 204 7 0 24 Oct 2022
Causal Structural Hypothesis Testing and Data Generation Models Jeffrey Q. Jiang Omead Brandon Pooladzandi Sunay Bhat Gregory Pottie CML 193 1 0 20 Oct 2022
Diffusion Models for Causal Discovery via Topological OrderingInternational Conference on Learning Representations (ICLR), 2022 Pedro Sanchez Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris DiffM 401 62 0 12 Oct 2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso Danru Xu Erdun Gao Wei Huang Menghan Wang Andy Song Biwei Huang CML 328 5 0 07 Sep 2022
Learning Multiscale Non-stationary Causal Structures Gabriele DÁcunto G. D. F. Morales P. Bajardi Francesco Bonchi CML AI4TS 157 4 0 31 Aug 2022
Truncated Matrix Power Iteration for Differentiable DAG LearningNeural Information Processing Systems (NeurIPS), 2022 Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Ehsan Abbasnejad Biwei Huang Kun Zhang Javen Qinfeng Shi 247 30 0 30 Aug 2022
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved VariablesAAAI Conference on Artificial Intelligence (AAAI), 2022 Ehsan Mokhtarian M. Khorasani Jalal Etesami Negar Kiyavash CML 201 8 0 14 Aug 2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods Giovanni Menegozzo Diego DallÁlba Paolo Fiorini 308 9 0 02 Aug 2022
De-Biasing Generative Models using Counterfactual Methods Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Gregory Pottie CML 181 7 0 04 Jul 2022
Reframed GES with a Neural Conditional Dependence MeasureConference on Uncertainty in Artificial Intelligence (UAI), 2022 Xinwei Shen Shengyu Zhu Jiji Zhang Shoubo Hu Zhitang Chen CML 121 3 0 17 Jun 2022
Large-Scale Differentiable Causal Discovery of Factor GraphsNeural Information Processing Systems (NeurIPS), 2022 Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 350 56 0 15 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive SystemsInternational Conference on Learning Representations (ICLR), 2022 Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 218 38 0 13 Jun 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise ModelsNeural Information Processing Systems (NeurIPS), 2022 Erdun Gao Ignavier Ng Biwei Huang Li Shen Wei Huang Tongliang Liu Kun Zhang H. Bondell CML 397 30 0 27 May 2022
Improving Multi-Task Generalization via Regularizing Spurious CorrelationNeural Information Processing Systems (NeurIPS), 2022 Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Luke Huan Ed H. Chi OOD LRM 262 38 0 19 May 2022
Differentiable DAG SamplingInternational Conference on Learning Representations (ICLR), 2022 Bertrand Charpentier Simon Kibler Stephan Günnemann 269 48 0 16 Mar 2022
Differentiable Causal Discovery Under Latent InterventionsCLEaR (CLEaR), 2022 Gonccalo R. A. Faria André F. T. Martins Mário A. T. Figueiredo BDL CML OOD 183 28 0 04 Mar 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Biwei Huang H. Bondell FedML 250 21 0 07 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 269 76 0 30 Nov 2021
Multi-task Learning of Order-Consistent Causal GraphsNeural Information Processing Systems (NeurIPS), 2021 Xinshi Chen Haoran Sun Caleb N. Ellington Eric Xing Le Song CML 200 17 0 03 Nov 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 247 44 0 18 Oct 2021
ML4C: Seeing Causality Through Latent Vicinity Haoyue Dai Rui Ding Yuanyuan Jiang Shi Han Dongmei Zhang OOD 249 14 0 01 Oct 2021
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICACLEaR (CLEaR), 2021 Sébastien Lachapelle Pau Rodríguez López Yash Sharma Katie Everett Rémi Le Priol Alexandre Lacoste Damien Scieur CML OOD 390 159 0 21 Jul 2021
DAGs with No Curl: An Efficient DAG Structure Learning ApproachInternational Conference on Machine Learning (ICML), 2021 Yue Yu Tian Gao Naiyu Yin Q. Ji CML 207 72 0 14 Jun 2021
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous OptimizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Weilin Chen Jie Qiao Ruichu Cai Zijian Li CML 217 8 0 05 Jun 2021
DiBS: Differentiable Bayesian Structure LearningNeural Information Processing Systems (NeurIPS), 2021 Lars Lorch Jonas Rothfuss Bernhard Schölkopf Andreas Krause 360 112 0 25 May 2021
Ordering-Based Causal Discovery with Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Xiaoqiang Wang Yali Du Shengyu Zhu Liangjun Ke Zhitang Chen Jianye Hao Jun Wang CML 292 73 0 14 May 2021
Unsuitability of NOTEARS for Causal Graph DiscoveryNeural Processing Letters (NPL), 2021 Marcus Kaiser Maksim Sipos CML 384 72 0 12 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal DiscoveryACM Computing Surveys (CSUR), 2021 M. Vowels Necati Cihan Camgöz Richard Bowden CML 475 350 0 03 Mar 2021
On the Convergence of Continuous Constrained Optimization for Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Damien Scieur Kun Zhang 432 43 0 23 Nov 2020
A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs Manon Romain Alexandre d’Aspremont 167 5 0 05 Nov 2020
Gradient-based Causal Structure Learning with Normalizing Flow Xiong Chen CML BDL DRL 165 0 0 07 Oct 2020
Causal Adversarial Network for Learning Conditional and Interventional Distributions Raha Moraffah Bahman Moraffah Mansooreh Karami A. Raglin Huan Liu OOD GAN CML 175 22 0 26 Aug 2020
Moment-Matching Graph-Networks for Causal Inference M. Park CML BDL 209 0 0 20 Jul 2020
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Damien Scieur Alexandre Drouin CML 376 229 0 03 Jul 2020
A polynomial-time algorithm for learning nonparametric causal graphs Ming Gao Yi Ding Bryon Aragam CML 238 36 0 22 Jun 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng AmirEmad Ghassami Kun Zhang CML 486 226 0 17 Jun 2020
On Low Rank Directed Acyclic Graphs and Causal Structure LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Zhuangyan Fang Shengyu Zhu Jiji Zhang Yue Liu Zhitang Chen Yangbo He CML 243 33 0 10 Jun 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 457 58 0 18 Apr 2020