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DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Neural Information Processing Systems (NeurIPS), 2022
16 September 2022
Kevin Bello
Bryon Aragam
Pradeep Ravikumar
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Papers citing
"DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
42 / 42 papers shown
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
224
2
0
14 Oct 2025
Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning
Marcel Wienöbst
Leonard Henckel
Sebastian Weichwald
CML
200
2
0
06 Oct 2025
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
Xinshuai Dong
Ignavier Ng
Haoyue Dai
Jiaqi Sun
Xiangchen Song
Peter Spirtes
Kun Zhang
CML
162
1
0
05 Oct 2025
DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
Samhita Pal
James O'quinn
Kaveh Aryan
Heather Pua
James P. Long
Amir Asiaee
CML
185
3
0
02 Oct 2025
Differentiable Structure Learning and Causal Discovery for General Binary Data
Chang Deng
Bryon Aragam
228
0
0
25 Sep 2025
Learning Causal Structure Distributions for Robust Planning
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Alejandro Murillo-Gonzalez
Junhong Xu
Lantao Liu
CML
255
1
0
08 Aug 2025
Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains
Fusion (Fusion), 2025
Jingyi Yu
Tim Pychynski
Marco F. Huber
CML
333
1
0
23 Jul 2025
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
Khadija Zanna
Akane Sano
206
1
0
13 Jun 2025
Nonlinear Causal Discovery through a Sequential Edge Orientation Approach
Stella Huang
Qing Zhou
CML
433
0
0
05 Jun 2025
Variational Transdimensional Inference
Laurence Davies
Dan Mackinlay
Rafael Oliveira
Scott A. Sisson
DRL
BDL
535
0
0
05 Jun 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
Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery
Julius Stephan Junker
Rong Hu
Ziyue Li
W. Ketter
199
3
0
21 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
508
1
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
389
4
0
22 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
2
0
12 Feb 2025
Causal Discovery via Bayesian Optimization
International Conference on Learning Representations (ICLR), 2025
Bao Duong
Sunil Gupta
Thin Nguyen
388
1
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
378
0
0
04 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
376
1
0
23 Dec 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
666
2
0
25 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
International Conference on Learning Representations (ICLR), 2024
Yingyu Lin
Yuxing Huang
Wenqin Liu
Haoran Deng
Ignavier Ng
Kun Zhang
Biwei Huang
Yi-An Ma
Zhen Zhang
460
5
0
08 Oct 2024
Asymmetric Graph Error Control with Low Complexity in Causal Bandits
IEEE Transactions on Signal Processing (IEEE TSP), 2024
Chen Peng
Di Zhang
Urbashi Mitra
CML
301
8
0
20 Aug 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
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Ashka Shah
Adela DePavia
Nathaniel Hudson
Ian Foster
Rick L. Stevens
CML
435
5
0
10 Jun 2024
Demystifying amortized causal discovery with transformers
Francesco Montagna
Max Cairney-Leeming
Dhanya Sridhar
Francesco Locatello
CML
532
4
0
27 May 2024
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
Abdolmahdi Bagheri
Mahdi Dehshiri
Babak N. Araabi
Alireza Akhondi-Asl
CML
377
2
0
08 Mar 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures
Nicolas Huynh
Jeroen Berrevoets
Nabeel Seedat
Jonathan Crabbé
Zhaozhi Qian
M. Schaar
345
1
0
26 Feb 2024
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery
Daniel Waxman
Kurt Butler
Petar M. Djurić
409
6
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
392
3
0
29 Nov 2023
Stable Differentiable Causal Discovery
Achille Nazaret
Justin Hong
Elham Azizi
David M. Blei
CML
483
28
0
17 Nov 2023
Causal Discovery with Generalized Linear Models through Peeling Algorithms
Journal of machine learning research (JMLR), 2023
Minjie Wang
Xiaotong Shen
Wei Pan
CML
289
0
0
25 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations
International Conference on Learning Representations (ICLR), 2023
Riccardo Massidda
Francesco Landolfi
Martina Cinquini
Davide Bacciu
410
10
0
15 Sep 2023
Invex Programs: First Order Algorithms and Their Convergence
Adarsh Barik
S. Sra
Jean Honorio
264
5
0
10 Jul 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
Neural Information Processing Systems (NeurIPS), 2023
Tianyu Chen
Kevin Bello
Bryon Aragam
Pradeep Ravikumar
CML
393
5
0
30 Jun 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Neural Information Processing Systems (NeurIPS), 2023
Simon Buchholz
Goutham Rajendran
Elan Rosenfeld
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
CML
448
90
0
04 Jun 2023
Optimizing NOTEARS Objectives via Topological Swaps
International Conference on Machine Learning (ICML), 2023
Chang Deng
Kevin Bello
Bryon Aragam
Pradeep Ravikumar
170
23
0
26 May 2023
Learning DAGs from Data with Few Root Causes
Neural Information Processing Systems (NeurIPS), 2023
Panagiotis Misiakos
Chris Wendler
Markus Püschel
CML
465
14
0
25 May 2023
Discovering Causal Relations and Equations from Data
Physics reports (Phys. Rep.), 2023
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
295
128
0
21 May 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond
CLEaR (CLEaR), 2023
Ignavier Ng
Erdun Gao
Kun Zhang
CML
461
34
0
04 Apr 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting
An Zhang
Fang Liu
Wenchang Ma
Zhibo Cai
Xiang Wang
Tat-Seng Chua
CML
318
8
0
06 Mar 2023
Causal Fourier Analysis on Directed Acyclic Graphs and Posets
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
B. Seifert
Chris Wendler
Markus Püschel
477
28
0
16 Sep 2022
Differentiable and Transportable Structure Learning
International Conference on Machine Learning (ICML), 2022
Jeroen Berrevoets
Nabeel Seedat
F. Imrie
M. Schaar
472
4
0
13 Jun 2022
Causal Graph Discovery from Self and Mutually Exciting Time Series
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2021
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
CML
474
2
0
04 Jun 2021
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