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1702.03530
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Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms
12 February 2017
Liam Solus
Yuhao Wang
Caroline Uhler
CML
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Papers citing
"Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms"
50 / 52 papers shown
Title
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies
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102
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187
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13 Mar 2025
When Selection Meets Intervention: Additional Complexities in Causal Discovery
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Ignavier Ng
Jianle Sun
Zeyu Tang
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Xinshuai Dong
Peter Spirtes
Kun Zhang
CML
116
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0
10 Mar 2025
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
Mohammad Shahverdikondori
Ehsan Mokhtarian
Negar Kiyavash
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54
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0
30 Oct 2024
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
Tong Xu
Simge Küçükyavuz
Ali Shojaie
Armeen Taeb
91
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21 Aug 2024
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
Luka Kovacevic
Izzy Newsham
Sach Mukherjee
John Whittaker
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52
2
0
08 Jul 2024
Causal Discovery with Fewer Conditional Independence Tests
Kirankumar Shiragur
Jiaqi Zhang
Caroline Uhler
CML
51
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0
03 Jun 2024
Hyperplane Representations of Interventional Characteristic Imset Polytopes
Benjamin Hollering
Joseph Johnson
Liam Solus
114
0
0
29 Apr 2024
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Tong Xu
Armeen Taeb
Simge Kuccukyavuz
Ali Shojaie
CML
147
1
0
19 Apr 2024
Colored Gaussian DAG models
Tobias Boege
Kaie Kubjas
Pratik Misra
Liam Solus
72
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0
05 Apr 2024
Recursive Causal Discovery
Ehsan Mokhtarian
Sepehr Elahi
S. Akbari
Negar Kiyavash
CML
77
2
0
14 Mar 2024
Membership Testing in Markov Equivalence Classes via Independence Query Oracles
Jiaqi Zhang
Kirankumar Shiragur
Caroline Uhler
CML
68
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0
09 Mar 2024
Learning Linear Gaussian Polytree Models with Interventions
D. Tramontano
L. Waldmann
Mathias Drton
Eliana Duarte
48
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08 Nov 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
Zhenyu Zhu
Francesco Locatello
Volkan Cevher
74
7
0
27 Oct 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
64
18
0
26 Oct 2023
On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
Fateme Jamshidi
Luca Ganassali
Negar Kiyavash
56
4
0
20 Oct 2023
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Quang-Duy Tran
Phuoc Nguyen
Bao Duong
Thin Nguyen
76
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0
04 Sep 2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series
Anpeng Wu
Haoxuan Li
Kun Kuang
Ke Zhang
Leilei Gan
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114
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0
16 Aug 2023
Order-based Structure Learning with Normalizing Flows
Hamidreza Kamkari
Vahid Balazadeh Meresht
Vahid Zehtab
Rahul G. Krishnan
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87
3
0
14 Aug 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
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C. Squires
Kristjan Greenewald
Akash Srivastava
Karthikeyan Shanmugam
Caroline Uhler
CML
129
65
0
12 Jul 2023
Active causal structure learning with advice
Davin Choo
Themis Gouleakis
Arnab Bhattacharyya
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72
3
0
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Optimizing NOTEARS Objectives via Topological Swaps
Chang Deng
Kevin Bello
Bryon Aragam
Pradeep Ravikumar
20
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0
26 May 2023
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga
Fabio Stella
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77
45
0
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Causal Razors
Wai-yin Lam
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65
0
0
20 Feb 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data
Muhammad Hasan Ferdous
Uzma Hasan
Md. Osman Gani
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64
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0
07 Feb 2023
Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition
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Kento Uemura
Akito Fujii
Shuang Chang
Yusuke Koyanagi
Koji Maruhashi
Michèle Sebag
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28
1
0
25 Nov 2022
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
Mizu Nishikawa-Toomey
T. Deleu
Jithendaraa Subramanian
Yoshua Bengio
Laurent Charlin
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111
29
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04 Nov 2022
Diffusion Models for Causal Discovery via Topological Ordering
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Xiao Liu
Alison Q. OÑeil
Sotirios A. Tsaftaris
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149
49
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12 Oct 2022
On the Edges of Characteristic Imset Polytopes
Svante Linusson
Petter Restadh
Liam Solus
CVBM
29
6
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15 Sep 2022
Active Learning for Optimal Intervention Design in Causal Models
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
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109
28
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10 Sep 2022
Toric Ideals of Characteristic Imsets via Quasi-Independence Gluing
Benjamin Hollering
Joseph Johnson
Irem Portakal
Liam Solus
23
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Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez
Jan-Christian Hütter
J. Pritchard
Aviv Regev
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87
43
0
15 Jun 2022
Greedy Relaxations of the Sparsest Permutation Algorithm
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Bryan Andrews
Joseph Ramsey
82
48
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11 Jun 2022
Causal Structure Learning: a Combinatorial Perspective
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120
47
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PAC Generalization via Invariant Representations
Advait Parulekar
Karthikeyan Shanmugam
Sanjay Shakkottai
93
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30 May 2022
Score matching enables causal discovery of nonlinear additive noise models
Paul Rolland
Volkan Cevher
Matthäus Kleindessner
Chris Russel
Bernhard Schölkopf
Dominik Janzing
Francesco Locatello
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99
90
0
08 Mar 2022
Sequentially learning the topological ordering of causal directed acyclic graphs with likelihood ratio scores
Gabriel Ruiz
Oscar Hernan Madrid Padilla
Qing Zhou
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68
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BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs
F. Castelletti
Alessandro Mascaro
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52
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Learning Bayesian Networks in the Presence of Structural Side Information
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S. Akbari
Fatemeh Jamshidi
Jalal Etesami
Negar Kiyavash
63
16
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20 Dec 2021
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
Guillaume Martinet
Alexander Strzalkowski
Barbara E. Engelhardt
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OOD
48
7
0
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A survey of Bayesian Network structure learning
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
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106
198
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23 Sep 2021
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms
Felix L. Rios
G. Moffa
Jack Kuipers
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98
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A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption
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Peter Spirtes
19
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Definite Non-Ancestral Relations and Structure Learning
Wenyu Chen
Mathias Drton
Ali Shojaie
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47
1
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Ordering-Based Causal Discovery with Reinforcement Learning
Xiaoqiang Wang
Yali Du
Shengyu Zhu
Liangjun Ke
Zhitang Chen
Jianye Hao
Jun Wang
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84
64
0
14 May 2021
Greedy Causal Discovery is Geometric
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Petter Restadh
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120
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0
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Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
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Roberto Bondesan
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Max Welling
54
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0
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Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes
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Hyunwoong Chang
121
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17
0
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