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. 1507.02608
  4. Cited By
High-dimensional consistency in score-based and hybrid structure
  learning

High-dimensional consistency in score-based and hybrid structure learning

9 July 2015
Preetam Nandy
Alain Hauser
Marloes H. Maathuis
ArXivPDFHTML

Papers citing "High-dimensional consistency in score-based and hybrid structure learning"

15 / 15 papers shown
Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Juan L. Gamella
Armeen Taeb
C. Heinze-Deml
Peter Buhlmann
CML
81
7
0
13 Mar 2025
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Ashka Shah
Adela DePavia
Nathaniel Hudson
Ian T. Foster
Rick L. Stevens
CML
23
1
0
10 Jun 2024
Optimal estimation of Gaussian (poly)trees
Optimal estimation of Gaussian (poly)trees
Yuhao Wang
Ming Gao
Wai Ming Tai
Bryon Aragam
Arnab Bhattacharyya
TPM
14
1
0
09 Feb 2024
A Survey on Causal Discovery: Theory and Practice
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga
Fabio Stella
CML
17
37
0
17 May 2023
Valid Inference after Causal Discovery
Valid Inference after Causal Discovery
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
16
8
0
11 Aug 2022
A Fast Non-parametric Approach for Local Causal Structure Learning
A Fast Non-parametric Approach for Local Causal Structure Learning
Mona Azadkia
Armeen Taeb
Peter Buhlmann
CML
11
3
0
29 Nov 2021
Efficient Learning of Quadratic Variance Function Directed Acyclic
  Graphs via Topological Layers
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
Wei Zhou
Xin He
Wei Zhong
Junhui Wang
CML
25
4
0
01 Nov 2021
Structure learning in polynomial time: Greedy algorithms, Bregman
  information, and exponential families
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Goutham Rajendran
Bohdan Kivva
Ming Gao
Bryon Aragam
12
17
0
10 Oct 2021
A survey of Bayesian Network structure learning
A survey of Bayesian Network structure learning
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
CML
6
181
0
23 Sep 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
11
294
0
03 Mar 2021
Causal Discovery from Incomplete Data: A Deep Learning Approach
Causal Discovery from Incomplete Data: A Deep Learning Approach
Yuhao Wang
Vlado Menkovski
Hao Wang
Xin Du
Mykola Pechenizkiy
CML
19
34
0
15 Jan 2020
Predictive Learning on Hidden Tree-Structured Ising Models
Predictive Learning on Hidden Tree-Structured Ising Models
Konstantinos E. Nikolakakis
Dionysios S. Kalogerias
Anand D. Sarwate
13
12
0
11 Dec 2018
Efficient Sampling and Structure Learning of Bayesian Networks
Efficient Sampling and Structure Learning of Bayesian Networks
Jack Kuipers
Polina Suter
G. Moffa
TPM
CML
6
69
0
21 Mar 2018
Complete Graphical Characterization and Construction of Adjustment Sets
  in Markov Equivalence Classes of Ancestral Graphs
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
Emilija Perković
J. Textor
M. Kalisch
Marloes H. Maathuis
OffRL
13
140
0
22 Jun 2016
Causal Inference and Causal Explanation with Background Knowledge
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
208
626
0
20 Feb 2013
1