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Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent
  DAGs

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs

AAAI Conference on Artificial Intelligence (AAAI), 2020
17 December 2020
Marcel Wienöbst
Max Bannach
Maciej Liskiewicz
    TPM
ArXiv (abs)PDFHTML

Papers citing "Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs"

14 / 14 papers shown
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Ehsan Sharifian
Saber Salehkaleybar
Negar Kiyavash
CML
187
1
0
25 Sep 2025
Design of Experiment for Discovering Directed Mixed Graph
Design of Experiment for Discovering Directed Mixed Graph
Haijie Xu
Chen Zhang
CML
144
0
0
02 Sep 2025
Less Greedy Equivalence Search
Less Greedy Equivalence Search
Adiba Ejaz
Elias Bareinboim
183
0
0
27 Jun 2025
Characterization and Learning of Causal Graphs from Hard Interventions
Characterization and Learning of Causal Graphs from Hard Interventions
Zihan Zhou
Muhammad Qasim Elahi
Murat Kocaoglu
CML
533
1
0
02 May 2025
Membership Testing in Markov Equivalence Classes via Independence Query
  Oracles
Membership Testing in Markov Equivalence Classes via Independence Query Oracles
Jiaqi Zhang
Kirankumar Shiragur
Caroline Uhler
CML
239
0
0
09 Mar 2024
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence
  Classes with the same Skeleton
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the same SkeletonAAAI Conference on Artificial Intelligence (AAAI), 2023
Vidya Sagar Sharma
322
0
0
06 Oct 2023
Do we become wiser with time? On causal equivalence with tiered
  background knowledge
Do we become wiser with time? On causal equivalence with tiered background knowledgeConference on Uncertainty in Artificial Intelligence (UAI), 2023
Christine W. Bang
Vanessa Didelez
252
7
0
02 Jun 2023
Active causal structure learning with advice
Active causal structure learning with adviceInternational Conference on Machine Learning (ICML), 2023
Davin Choo
Themis Gouleakis
Arnab Bhattacharyya
CML
246
7
0
31 May 2023
Efficient Enumeration of Markov Equivalent DAGs
Efficient Enumeration of Markov Equivalent DAGsAAAI Conference on Artificial Intelligence (AAAI), 2023
Marcel Wienöbst
Malte Luttermann
Max Bannach
Maciej Liskiewicz
216
7
0
28 Jan 2023
Active Learning for Optimal Intervention Design in Causal Models
Active Learning for Optimal Intervention Design in Causal ModelsNature Machine Intelligence (Nat. Mach. Intell.), 2022
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
CML
356
43
0
10 Sep 2022
Causal Structure Learning: a Combinatorial Perspective
Causal Structure Learning: a Combinatorial PerspectiveFoundations of Computational Mathematics (FoCM), 2022
C. Squires
Caroline Uhler
CML
525
65
0
02 Jun 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal
  Models
A Unified Experiment Design Approach for Cyclic and Acyclic Causal ModelsJournal of machine learning research (JMLR), 2022
Ehsan Mokhtarian
Saber Salehkaleybar
AmirEmad Ghassami
Negar Kiyavash
367
6
0
20 May 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent
  DAGs with Applications
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with ApplicationsJournal of machine learning research (JMLR), 2022
Marcel Wienöbst
Max Bannach
Maciej Liskiewicz
343
15
0
05 May 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Vibhor Porwal
P. Srivastava
Gaurav Sinha
CML
550
2
0
09 Nov 2021
1
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