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Complexity analysis of Bayesian learning of high-dimensional DAG models
  and their equivalence classes
v1v2v3 (latest)

Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes

Annals of Statistics (Ann. Stat.), 2021
11 January 2021
Quan Zhou
Hyunwoong Chang
ArXiv (abs)PDFHTML

Papers citing "Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes"

12 / 12 papers shown
A fast non-reversible sampler for Bayesian finite mixture models
A fast non-reversible sampler for Bayesian finite mixture models
Filippo Ascolani
T. Rigon
124
1
0
03 Oct 2025
Consistent Bayesian causal discovery for structural equation models with equal error variances
Consistent Bayesian causal discovery for structural equation models with equal error variances
Anamitra Chaudhuri
Yang Ni
Anirban Bhattacharya
CML
99
0
0
18 Sep 2025
Greedy equivalence search for nonparametric graphical models
Greedy equivalence search for nonparametric graphical models
Bryon Aragam
CML
290
4
0
25 Jun 2024
A geometric approach to informed MCMC sampling
A geometric approach to informed MCMC sampling
Vivekananda Roy
247
0
0
13 Jun 2024
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces
Hyunwoong Chang
Quan Zhou
352
6
0
05 Apr 2024
Structure Learning with Adaptive Random Neighborhood Informed MCMC
Structure Learning with Adaptive Random Neighborhood Informed MCMCNeural Information Processing Systems (NeurIPS), 2023
Alberto Caron
Xitong Liang
Samuel Livingstone
Jim Griffin
274
4
0
01 Nov 2023
Causal structure learning with momentum: Sampling distributions over
  Markov Equivalence Classes of DAGs
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGsEuropean Workshop on Probabilistic Graphical Models (PGM), 2023
Moritz Schauer
Marcel Wienöbst
CML
292
2
0
09 Oct 2023
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection
  Problems
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection ProblemsNeural Information Processing Systems (NeurIPS), 2022
Hyunwoong Chang
Changwoo J. Lee
Z. Luo
H. Sang
Quan Zhou
320
11
0
01 Jul 2022
Order-based Structure Learning without Score Equivalence
Order-based Structure Learning without Score EquivalenceBiometrika (Biometrika), 2022
Hyunwoong Chang
James Cai
Quan Zhou
CMLOffRL
365
5
0
10 Feb 2022
Scalable Bayesian high-dimensional local dependence learning
Scalable Bayesian high-dimensional local dependence learning
Kyoungjae Lee
Lizhen Lin
204
3
0
24 Sep 2021
Rapid Convergence of Informed Importance Tempering
Rapid Convergence of Informed Importance TemperingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Quan Zhou
Aaron Smith
228
10
0
22 Jul 2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Quan Zhou
Jun Yang
Dootika Vats
Gareth O. Roberts
Jeffrey S. Rosenthal
253
31
0
12 May 2021
1
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