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. 1702.03530
  4. Cited By
Consistency Guarantees for Greedy Permutation-Based Causal Inference
  Algorithms

Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms

12 February 2017
Liam Solus
Yuhao Wang
Caroline Uhler
    CML
ArXivPDFHTML

Papers citing "Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms"

16 / 16 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
86
7
0
13 Mar 2025
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Tong Xu
Armeen Taeb
Simge Kuccukyavuz
Ali Shojaie
CML
33
1
0
19 Apr 2024
Learning Linear Gaussian Polytree Models with Interventions
Learning Linear Gaussian Polytree Models with Interventions
D. Tramontano
L. Waldmann
Mathias Drton
Eliana Duarte
36
0
0
08 Nov 2023
Order-based Structure Learning with Normalizing Flows
Order-based Structure Learning with Normalizing Flows
Hamidreza Kamkari
Vahid Balazadeh Meresht
Vahid Zehtab
Rahul G. Krishnan
CML
23
1
0
14 Aug 2023
A Survey on Causal Discovery: Theory and Practice
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga
Fabio Stella
CML
21
37
0
17 May 2023
Causal Razors
Causal Razors
Wai-yin Lam
CML
16
0
0
20 Feb 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary
  Time Series Data
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data
Muhammad Hasan Ferdous
Uzma Hasan
Md. Osman Gani
CML
25
3
0
07 Feb 2023
Large-Scale Differentiable Causal Discovery of Factor Graphs
Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez
Jan-Christian Hütter
J. Pritchard
Aviv Regev
CML
AI4CE
37
40
0
15 Jun 2022
Greedy Relaxations of the Sparsest Permutation Algorithm
Greedy Relaxations of the Sparsest Permutation Algorithm
Wai-yin Lam
Bryan Andrews
Joseph Ramsey
22
43
0
11 Jun 2022
PAC Generalization via Invariant Representations
PAC Generalization via Invariant Representations
Advait Parulekar
Karthikeyan Shanmugam
Sanjay Shakkottai
24
3
0
30 May 2022
Learning Bayesian Networks in the Presence of Structural Side
  Information
Learning Bayesian Networks in the Presence of Structural Side Information
Ehsan Mokhtarian
S. Akbari
Fatemeh Jamshidi
Jalal Etesami
Negar Kiyavash
21
16
0
20 Dec 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
18
181
0
23 Sep 2021
Ordering-Based Causal Discovery with Reinforcement Learning
Ordering-Based Causal Discovery with Reinforcement Learning
Xiaoqiang Wang
Yali Du
Shengyu Zhu
Liangjun Ke
Zhitang Chen
Jianye Hao
Jun Wang
CML
18
63
0
14 May 2021
Greedy Causal Discovery is Geometric
Greedy Causal Discovery is Geometric
Svante Linusson
Petter Restadh
Liam Solus
CML
21
9
0
05 Mar 2021
A Recursive Markov Boundary-Based Approach to Causal Structure Learning
A Recursive Markov Boundary-Based Approach to Causal Structure Learning
Ehsan Mokhtarian
S. Akbari
AmirEmad Ghassami
Negar Kiyavash
CML
8
17
0
10 Oct 2020
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