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D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
ACM Computing Surveys (CSUR), 2021
3 March 2021
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
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Papers citing
"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery"
50 / 175 papers shown
Differentially Private and Federated Structure Learning in Bayesian Networks
Ghita Fassy El Fehri
Aurélien Bellet
Philippe Bastien
FedML
226
0
0
01 Dec 2025
Causal Discovery on Higher-Order Interactions
Alessio Zanga
M. Scutari
Fabio Stella
CML
204
0
0
18 Nov 2025
Linear Causal Discovery with Interventional Constraints
Zhigao Guo
Feng Dong
CML
170
0
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30 Oct 2025
Graph Distance Based on Cause-Effect Estimands with Latents
Zhufeng Li
Niki Kilbertus
CML
332
0
0
28 Oct 2025
Differentiable Constraint-Based Causal Discovery
Jincheng Zhou
Mengbo Wang
Anqi He
Yumeng Zhou
Hessam Olya
Murat Kocaoglu
Bruno Ribeiro
CML
217
1
0
24 Oct 2025
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Riccardo Guidotti
Martina Cinquini
Marta Marchiori Manerba
Mattia Setzu
Francesco Spinnato
192
0
0
23 Oct 2025
Graph Learning is Suboptimal in Causal Bandits
Mohammad Shahverdikondori
Jalal Etesami
Negar Kiyavash
CML
224
1
0
19 Oct 2025
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
International Conference on Learning Representations (ICLR), 2025
Huiyang Yi
Yanyan He
Duxin Chen
Mingyu Kang
He Wang
Wenwu Yu
OOD
CML
223
2
0
14 Oct 2025
Training Feature Attribution for Vision Models
Aziz Bacha
Thomas George
TDI
FAtt
385
1
0
10 Oct 2025
Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
Olayiwola Arowolo
Jochen L. Cremer
AI4CE
152
1
0
08 Oct 2025
Vision Transformer for Transient Noise Classification
Divyansh Srivastava
Andrzej Niedzielski
179
1
0
06 Oct 2025
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
Zhengkang Guan
Kun Kuang
CML
186
2
0
25 Sep 2025
Revealing Multimodal Causality with Large Language Models
Jin Li
Shoujin Wang
Qi Zhang
Feng Liu
Tongliang Liu
LongBing Cao
Shui Yu
F. Chen
314
2
0
22 Sep 2025
Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case
Tim Schwabe
Moritz Lange
Laurenz Wiskott
Maribel Acosta
CML
243
0
0
01 Sep 2025
Nonlinear Causal Discovery through a Sequential Edge Orientation Approach
Stella Huang
Qing Zhou
CML
432
0
0
05 Jun 2025
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery
Xingyu Wu
Kui Yu
Jibin Wu
Kay Chen Tan
CML
304
5
0
01 Jun 2025
Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel
Zeshan Hussain
Piersilvio De Bartolomeis
D. Sontag
CML
257
0
0
01 Jun 2025
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
Aneesh Komanduri
Karuna Bhaila
Xintao Wu
ReLM
LRM
ELM
347
3
0
21 May 2025
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges
Miguel Arana-Catania
Weisi Guo
CML
343
0
0
13 May 2025
Analytic DAG Constraints for Differentiable DAG Learning
International Conference on Learning Representations (ICLR), 2025
Zhen Zhang
Ignavier Ng
Dong Gong
Yuhang Liu
Mingming Gong
Zhen Zhang
Kun Zhang
Anton van den Hengel
Javen Qinfeng Shi
CML
328
6
0
24 Mar 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces
CLEaR (CLEaR), 2025
Georg Manten
Cecilia Casolo
Søren Wengel Mogensen
Niki Kilbertus
440
1
0
12 Mar 2025
Causally Reliable Concept Bottleneck Models
Giovanni De Felice
Arianna Casanova Flores
Francesco De Santis
Silvia Santini
Johannes Schneider
Pietro Barbiero
Alberto Termine
601
9
0
06 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
566
0
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
429
8
0
03 Mar 2025
Your Assumed DAG is Wrong and Here's How To Deal With It
CLEaR (CLEaR), 2025
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
507
1
0
24 Feb 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Jiaru Zhang
Rui Ding
Qiang Fu
Bojun Huang
Zizhen Deng
Yang Hua
Haibing Guan
Shi Han
Dongmei Zhang
CML
228
0
0
15 Feb 2025
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Vy Vo
Zhuang Li
Tao Feng
Yuncheng Hua
Xiaoxi Kang
Songhai Fan
Tim Dwyer
Lay-Ki Soon
Gholamreza Haffari
1.0K
1
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
390
1
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
238
3
0
10 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
931
17
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10 Jan 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity
Knowledge Discovery and Data Mining (KDD), 2024
Yixin Ren
Huatian Zhang
Yewei Xia
Hao Zhang
Jihong Guan
Shuigeng Zhou
373
1
0
23 Dec 2024
Generative Intervention Models for Causal Perturbation Modeling
Nora Schneider
Lars Lorch
Niki Kilbertus
Bernhard Schölkopf
Andreas Krause
530
5
0
21 Nov 2024
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DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
Klea Ziu
Slavomír Hanzely
Loka Li
Kun Zhang
Martin Takáč
Dmitry Kamzolov
365
4
0
31 Oct 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
M. Vowels
Mathieu Rochat
S. Akbari
CML
GNN
OOD
716
0
0
18 Oct 2024
Causal Inference with Large Language Model: A Survey
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Jing Ma
CML
LRM
728
34
0
15 Sep 2024
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
Rujia Shen
Boran Wang
Chao Zhao
Yi Guan
Jingchi Jiang
CML
BDL
AI4TS
279
1
0
15 Aug 2024
Visual Analysis of Multi-outcome Causal Graphs
Mengjie Fan
Jinlu Yu
Daniel Weiskopf
Nan Cao
Huai-Yu Wang
Liang Zhou
CML
313
9
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
238
3
0
23 Jul 2024
Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang
Erdun Gao
Feng Liu
Xinge You
Tongliang Liu
Kun Zhang
Biwei Huang
373
5
0
14 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang
Duxin Chen
Ziyuan Pu
Jianxi Gao
Wenwu Yu
CML
527
1
0
02 Jul 2024
Improving Finite Sample Performance of Causal Discovery by Exploiting Temporal Structure
Christine W. Bang
Janine Witte
R. Foraita
Vanessa Didelez
CML
160
3
0
27 Jun 2024
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong
Di Yao
Lei Zhang
Sheng Chen
Wenbin Li
Yueyang Su
Jingping Bi
307
12
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
309
30
0
24 Jun 2024
Standardizing Structural Causal Models
Weronika Ormaniec
Scott Sussex
Lars Lorch
Bernhard Schölkopf
Andreas Krause
CML
561
14
0
17 Jun 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
Knowledge Discovery and Data Mining (KDD), 2024
Pingchuan Ma
Rui Ding
Qiang Fu
Jiaru Zhang
Shuai Wang
Shi Han
Dongmei Zhang
CML
346
4
0
15 Jun 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
Alan Nawzad Amin
Andrew Gordon Wilson
CML
474
4
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13 Jun 2024
Investigating potential causes of Sepsis with Bayesian network structure learning
Bruno Petrungaro
N. K. Kitson
Anthony C. Constantinou
CML
356
6
0
13 Jun 2024
Structural Disentanglement of Causal and Correlated Concepts
Qilong Zhao
Shiyu Wang
Zeeshan Memon
Bo Pan
Guangji Bai
Bo Pan
Zhaohui Qin
Liang Zhao
371
1
0
25 May 2024
Coordinated Multi-Neighborhood Learning on a Directed Acyclic Graph
Stephen Smith
Qing Zhou
GNN
CML
263
1
0
24 May 2024
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
Andreas Sauter
Erman Acar
Aske Plaat
SyDa
CML
316
3
0
21 May 2024
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