D'ya like DAGs? A Survey on Structure Learning and Causal Discovery

3 March 2021

Papers citing "D'ya like DAGs? A Survey on Structure Learning and Causal Discovery"

50 / 165 papers shown

Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 23 0 0 13 May 2025
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
An Asymmetric Independence Model for Causal Discovery on Path Spaces Georg Manten Cecilia Casolo Søren Wengel Mogensen Niki Kilbertus 54 0 0 12 Mar 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 47 0 0 06 Mar 2025
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 63 2 0 06 Mar 2025
Can Large Language Models Help Experimental Design for Causal Discovery? Junyi Li Yongqiang Chen Chenxi Liu Qianyi Cai Tongliang Liu Bo Han Kun Zhang Hui Xiong CML 62 0 0 03 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
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 48 0 0 15 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
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care Yuxiao Cheng Xinxin Song Ziqian Wang Qin Zhong Kunlun He J. Suo OOD CML 88 0 0 04 Feb 2025
Covariate Dependent Mixture of Bayesian Networks Román Marchant Dario Draca Gilad Francis Sahand Assadzadeh Mathew Varidel Frank Iorfino Sally Cripps CML 50 0 0 10 Jan 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Yixin Ren H. M. Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 29 0 0 23 Dec 2024
Generative Intervention Models for Causal Perturbation Modeling Nora Schneider Lars Lorch Niki Kilbertus Bernhard Schölkopf Andreas Krause 73 2 0 21 Nov 2024
$ψ$ 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
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 19 0 0 18 Oct 2024
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 83 8 0 15 Sep 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
Optimal Kernel Choice for Score Function-based Causal Discovery Wenjie Wang Biwei Huang Feng Liu Xinge You Tongliang Liu Kun Zhang Mingming Gong 19 3 0 14 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 32 1 0 02 Jul 2024
CausalMMM: Learning Causal Structure for Marketing Mix Modeling Chang Gong Di Yao Lei Zhang Sheng Chen Wenbin Li Yueyang Su Jingping Bi 34 4 0 24 Jun 2024
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery Lingbai Kong Wengen Li Hanchen Yang Yichao Zhang Jihong Guan Shuigeng Zhou CML AI4TS 35 0 0 24 Jun 2024
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 44 5 0 17 Jun 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version) Pingchuan Ma Rui Ding Qiang Fu Jiaru Zhang Shuai Wang Shi Han Dongmei Zhang CML 45 2 0 15 Jun 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
Investigating potential causes of Sepsis with Bayesian network structure learning Bruno Petrungaro N. K. Kitson Anthony C. Constantinou CML 44 0 0 13 Jun 2024
Deep Causal Generative Models with Property Control Qilong Zhao Shiyu Wang Guangji Bai Bo Pan Zhaohui Qin Liang Zhao 42 0 0 25 May 2024
Coordinated Multi-Neighborhood Learning on a Directed Acyclic Graph Stephen Smith Qing Zhou GNN CML 21 1 0 24 May 2024
ProDAG: Projection-Induced Variational Inference for Directed Acyclic Graphs Ryan Thompson Edwin V. Bonilla Robert Kohn 31 0 0 24 May 2024
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research Andreas Sauter Erman Acar Aske Plaat SyDa CML 31 1 0 21 May 2024
Argumentative Causal Discovery Fabrizio Russo Anna Rapberger Francesca Toni CML 19 1 0 18 May 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 23 0 0 14 May 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot Alessandro Leite Nicolas Chesneau Michèle Sébag Marc Schoenauer 46 3 0 08 May 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 30 4 0 27 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations Nils Ole Breuer Andreas Sauter Majid Mohammadi Erman Acar FAtt 29 2 0 17 Apr 2024
FiP: a Fixed-Point Approach for Causal Generative Modeling M. Scetbon Joel Jennings Agrin Hilmkil Cheng Zhang Chao Ma 37 2 0 10 Apr 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 30 0 0 14 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery Yang Chen Yitao Liang Zhouchen Lin OOD CML 20 0 0 29 Feb 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 34 8 0 28 Feb 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data Xiao Liu Zirui Wu Xueqing Wu Pan Lu Kai-Wei Chang Yansong Feng ELM LRM 27 25 0 27 Feb 2024
Language Agents as Optimizable Graphs Mingchen Zhuge Wenyi Wang Louis Kirsch Francesco Faccio Dmitrii Khizbullin Jürgen Schmidhuber LLMAG 29 19 0 26 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 114 36 0 16 Feb 2024
Causal Discovery under Off-Target Interventions Davin Choo Kirankumar Shiragur Caroline Uhler CML 20 1 1 13 Feb 2024
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism Philipp Froehlich Heinz Koeppl GNN 11 1 0 12 Feb 2024
Discovery of the Hidden World with Large Language Models Chenxi Liu Yongqiang Chen Tongliang Liu Mingming Gong James Cheng Bo Han Kun Zhang CML 59 10 0 06 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
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning Andreas Sauter N. Botteghi Erman Acar Aske Plaat CML 11 3 0 30 Jan 2024
Long-Term Fair Decision Making through Deep Generative Models Yaowei Hu Yongkai Wu Lu Zhang FaML 19 1 0 20 Jan 2024
Causal Layering via Conditional Entropy Itai Feigenbaum Devansh Arpit Huan Wang Shelby Heinecke Juan Carlos Niebles Weiran Yao Caiming Xiong Silvio Savarese CML 11 1 0 19 Jan 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 15 4 0 16 Jan 2024