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Unsuitability of NOTEARS for Causal Graph Discovery

12 April 2021

Papers citing "Unsuitability of NOTEARS for Causal Graph Discovery"

40 / 40 papers shown

Title
Heterogeneous Causal Discovery of Repeated Undesirable Health Outcomes Shishir Adhikari Guido Muscioni Mark Shapiro Plamen Petrov Elena Zheleva CML 102 0 0 14 Mar 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 131 0 0 18 Feb 2025
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 113 0 0 09 Nov 2024
$Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond$ Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond Kaifeng Jin Ignavier Ng Kun Zhang Zhen Zhang 83 0 0 24 Oct 2024
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 151 7 0 17 Jun 2024
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method Bryan Andrews Erich Kummerfeld CML 70 6 0 21 May 2024
Adjustment Identification Distance: A gadjid for Causal Structure Learning Leonard Henckel Theo Würtzen Sebastian Weichwald CML 105 11 0 13 Feb 2024
Boosting Causal Additive Models Maximilian Kertel Nadja Klein 81 0 0 12 Jan 2024
Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees Jiahe Lin Huitian Lei G. Michailidis 32 1 0 26 Nov 2023
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice Damian Machlanski Spyridon Samothrakis Paul Clarke CML 82 1 0 27 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 78 6 0 15 Sep 2023
Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI Jia Li Xiang Li 117 0 0 31 Jul 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions Jiaqi Zhang C. Squires Kristjan Greenewald Akash Srivastava Karthikeyan Shanmugam Caroline Uhler CML 144 65 0 12 Jul 2023
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms D. Bystrova Charles K. Assaad Julyan Arbel Emilie Devijver Éric Gaussier W. Thuiller AI4TS CML 128 6 0 14 Jun 2023
Discovering Dynamic Causal Space for DAG Structure Learning Fan Liu Wenchang Ma An Zhang Xiang Wang Yueqi Duan Tat-Seng Chua OOD CML 77 2 0 05 Jun 2023
dotears: Scalable, consistent DAG estimation using observational and interventional data Albert Y Xue Jingyou Rao S. Sankararaman Harold Pimentel OOD CML 57 4 0 30 May 2023
Learning DAGs from Data with Few Root Causes Panagiotis Misiakos Chris Wendler Markus Püschel CML 103 11 0 25 May 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 76 9 0 05 May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman Robert Osazuwa Ness Amit Sharma Chenhao Tan LRM ELM 164 285 0 28 Apr 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Kun Zhang CML 101 21 0 04 Apr 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander G. Reisach Myriam Tami C. Seiler Antoine Chambaz S. Weichwald CML 108 21 0 31 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 118 19 0 17 Mar 2023
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract) Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani 67 2 0 06 Mar 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 70 3 0 07 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 102 13 0 01 Feb 2023
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space Jia Li Xiang Li X. Jia M. Steinbach Vipin Kumar CML OOD AI4CE 109 0 0 15 Nov 2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods Giovanni Menegozzo Diego DallÁlba Paolo Fiorini 127 7 0 02 Aug 2022
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction Yanke Li Hatt Tobias Ioana Bica M. Schaar CML 82 0 0 02 Aug 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery Andreas Sauter Erman Acar Vincent François-Lavet CML 108 19 0 18 Jul 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 91 43 0 15 Jun 2022
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation Jonas Seng Matej Zečević Devendra Singh Dhami Kristian Kersting CML 57 3 0 14 Jun 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan O. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 53 2 0 13 Jun 2022
Differentiable and Transportable Structure Learning Jeroen Berrevoets Nabeel Seedat F. Imrie M. Schaar 105 2 0 13 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 76 2 0 10 Jun 2022
Inferring extended summary causal graphs from observational time series Charles K. Assaad Emilie Devijver Éric Gaussier CML AI4TS 23 0 0 19 May 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Biwei Huang H. Bondell FedML 96 17 0 07 Dec 2021
Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Álvarez Wenbo Gong A. Lamb Simon Woodhead Simon L. Peyton Jones Nick Pawlowski Miltiadis Allamanis Cheng Zhang 140 18 0 15 Oct 2021
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 43 6 0 09 Oct 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 155 305 0 03 Mar 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 95 142 0 26 Feb 2021