DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

16 September 2022

Papers citing "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

50 / 59 papers shown

Title
Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu M. Gong Biwei Huang Kun Zhang Anton van den Hengel Javen Qinfeng Shi CML 48 1 0 24 Mar 2025
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring Khadija Zanna Akane Sano 43 0 0 21 Mar 2025
Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery Julius Stephan Junker Rong Hu Ziyue Li W. Ketter 29 0 0 21 Mar 2025
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 40 0 0 24 Feb 2025
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery Mateusz Olko Mateusz Gajewski Joanna Wojciechowska Mikołaj Morzy Piotr Sankowski Piotr Miłoś CML 39 0 0 22 Feb 2025
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning Vy Vo Lizhen Qu Tao Feng Yuncheng Hua Xiaoxi Kang Songhai Fan Tim Dwyer Lay-Ki Soon Gholamreza Haffari 137 0 0 12 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 39 0 0 28 Jan 2025
On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching Ali Bavafa Gholam-Ali Hossein-Zadeh CML CVBM 23 0 0 04 Jan 2025
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 38 1 0 31 Oct 2024
LLM-initialized Differentiable Causal Discovery Shiv Kampani David Hidary Constantijn van der Poel Martin Ganahl Brenda Miao 26 0 0 28 Oct 2024
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data Yue Cheng Jiajun Zhang Weiwei Xing Xiaoyu Guo Yue Cheng Witold Pedrycz CML 27 0 0 25 Oct 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 Biwei Huang 35 0 0 24 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 24 0 0 08 Oct 2024
Ordering-Based Causal Discovery for Linear and Nonlinear Relations Zhuopeng Xu Yujie Li Cheng Liu Ning Gui 24 1 0 08 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Mingming Gong Yi-An Ma Biwei Huang 25 1 0 08 Oct 2024
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth Joseph Ramsey Bryan Andrews Peter Spirtes CML 24 2 0 30 Sep 2024
Non-negative Weighted DAG Structure Learning Samuel Rey S. S. Saboksayr Gonzalo Mateos CML 42 0 0 12 Sep 2024
Asymmetric Graph Error Control with Low Complexity in Causal Bandits Chen Peng Di Zhang Urbashi Mitra CML 28 4 0 20 Aug 2024
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models Yurou Liang Oleksandr Zadorozhnyi Mathias Drton CML 31 0 0 20 Aug 2024
Visual Analysis of Multi-outcome Causal Graphs Mengjie Fan Jinlu Yu Daniel Weiskopf Nan Cao Huai-Yu Wang Liang Zhou CML 31 1 0 31 Jul 2024
Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage Lucas Possner Lukas Bahr L. Roehl Christoph Wehner Sophie Groeger CML 30 1 0 23 Jul 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 21 1 0 13 Jun 2024
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning Ashka Shah Adela DePavia Nathaniel Hudson Ian T. Foster Rick L. Stevens CML 26 1 0 10 Jun 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 57 1 0 27 May 2024
ProDAG: Projection-Induced Variational Inference for Directed Acyclic Graphs Ryan Thompson Edwin V. Bonilla Robert Kohn 31 0 0 24 May 2024
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method Bryan Andrews Erich Kummerfeld CML 43 4 0 21 May 2024
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks Abdolmahdi Bagheri Mahdi Dehshiri Babak Nadjar Araabi Alireza Akhondi-Asl CML 14 1 0 08 Mar 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 21 1 0 26 Feb 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 38 3 0 23 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Fuchun Sun Huazhe Xu CML 38 10 0 22 Feb 2024
Variational DAG Estimation via State Augmentation With Stochastic Permutations Edwin V. Bonilla P. Elinas He Zhao Maurizio Filippone V. Kitsios Terry O'Kane CML 35 3 0 04 Feb 2024
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery Daniel Waxman Kurt Butler P. Djuric 28 3 0 05 Jan 2024
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 20 1 0 29 Nov 2023
Stable Differentiable Causal Discovery Achille Nazaret Justin Hong Elham Azizi David M. Blei CML 16 9 0 17 Nov 2023
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees Bryan Andrews Joseph Ramsey Ruben Sanchez-Romero Jazmin Camchong Erich Kummerfeld CML 15 16 0 26 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 37 18 0 25 Oct 2023
Causal Discovery with Generalized Linear Models through Peeling Algorithms Minjie Wang Xiaotong Shen Wei Pan CML 16 0 0 25 Oct 2023
CoLiDE: Concomitant Linear DAG Estimation S. S. Saboksayr Gonzalo Mateos Mariano Tepper CML 25 4 0 04 Oct 2023
2-Cats: 2D Copula Approximating Transforms Shiyi Tang Yini Fang Jackson Silva Renato M. Assunção 28 0 0 28 Sep 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 23 6 0 15 Sep 2023
Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning Abdolmahdi Bagheri Mohammad Pasande Kevin Bello Babak Nadjar Araabi Alireza Akhondi-Asl 17 1 0 07 Sep 2023
Invex Programs: First Order Algorithms and Their Convergence Adarsh Barik S. Sra Jean Honorio 16 2 0 10 Jul 2023
Global Optimality in Bivariate Gradient-based DAG Learning Chang Deng Kevin Bello Bryon Aragam Pradeep Ravikumar 31 8 0 30 Jun 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Tianyu Chen Kevin Bello Bryon Aragam Pradeep Ravikumar CML 22 1 0 30 Jun 2023
Predictive Coding beyond Correlations Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 24 3 0 27 Jun 2023
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models Benjamin Cox Victor Elvira 30 10 0 20 Jun 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz Goutham Rajendran Elan Rosenfeld Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar CML 32 57 0 04 Jun 2023
Optimizing NOTEARS Objectives via Topological Swaps Chang Deng Kevin Bello Bryon Aragam Pradeep Ravikumar 11 14 0 26 May 2023
Learning DAGs from Data with Few Root Causes Panagiotis Misiakos Chris Wendler Markus Püschel CML 27 10 0 25 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 32 72 0 21 May 2023