ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.17679
  4. Cited By
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score
  Search and Grow-Shrink Trees

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees

26 October 2023
Bryan Andrews
Joseph Ramsey
Ruben Sanchez-Romero
Jazmin Camchong
Erich Kummerfeld
    CML
ArXivPDFHTML

Papers citing "Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees"

13 / 13 papers shown
Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
Rebecca Herman
Jonas Wahl
Urmi Ninad
Jakob Runge
57
0
0
21 Mar 2025
An extensive simulation study evaluating the interaction of resampling techniques across multiple causal discovery contexts
An extensive simulation study evaluating the interaction of resampling techniques across multiple causal discovery contexts
Ritwick Banerjee
Bryan Andrews
Erich Kummerfeld
CML
48
0
0
19 Mar 2025
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
Mohammad Shahverdikondori
Ehsan Mokhtarian
Negar Kiyavash
CML
36
0
0
30 Oct 2024
ExDBN: Exact learning of Dynamic Bayesian Networks
ExDBN: Exact learning of Dynamic Bayesian Networks
Pavel Rytír
Ales Wodecki
Georgios Korpas
Jakub Mareˇcek
CML
31
0
0
21 Oct 2024
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence
  of Ground Truth
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
Joseph Ramsey
Bryan Andrews
Peter Spirtes
CML
32
2
0
30 Sep 2024
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
Ryan Thompson
Edwin V. Bonilla
Robert Kohn
42
0
0
24 May 2024
Better Simulations for Validating Causal Discovery with the
  DAG-Adaptation of the Onion Method
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method
Bryan Andrews
Erich Kummerfeld
CML
53
4
0
21 May 2024
Hyperplane Representations of Interventional Characteristic Imset
  Polytopes
Hyperplane Representations of Interventional Characteristic Imset Polytopes
Benjamin Hollering
Joseph Johnson
Liam Solus
32
0
0
29 Apr 2024
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
59
0
0
09 Mar 2024
Algorithmic Identification of Essential Exogenous Nodes for Causal
  Sufficiency in Brain Networks
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
Abdolmahdi Bagheri
Mahdi Dehshiri
Babak N. Araabi
Alireza Akhondi-Asl
CML
36
2
0
08 Mar 2024
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity
  Characterization
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello
Bryon Aragam
Pradeep Ravikumar
66
78
0
16 Sep 2022
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure
  Learning Algorithms
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms
Felix L. Rios
G. Moffa
Jack Kuipers
CML
27
12
0
08 Jul 2021
A Transformational Characterization of Equivalent Bayesian Network
  Structures
A Transformational Characterization of Equivalent Bayesian Network Structures
D. M. Chickering
151
416
0
20 Feb 2013
1