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

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

11 January 2021

Hyunwoong Chang

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

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Title
Greedy equivalence search for nonparametric graphical models Bryon Aragam CML 64 2 0 25 Jun 2024
A geometric approach to informed MCMC sampling Vivekananda Roy 70 0 0 13 Jun 2024
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces Hyunwoong Chang Quan Zhou 77 6 0 05 Apr 2024
Structure Learning with Adaptive Random Neighborhood Informed MCMC Alberto Caron Xitong Liang Samuel Livingstone Jim Griffin 31 2 0 01 Nov 2023
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs Moritz Schauer Marcel Wienöbst CML 90 2 0 09 Oct 2023
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems Hyunwoong Chang Changwoo J. Lee Z. Luo H. Sang Quan Zhou 54 11 0 01 Jul 2022
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 64 3 0 10 Feb 2022
Scalable Bayesian high-dimensional local dependence learning Kyoungjae Lee Lizhen Lin 45 3 0 24 Sep 2021
Rapid Convergence of Informed Importance Tempering Quan Zhou Aaron Smith 63 10 0 22 Jul 2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection Quan Zhou Jun Yang Dootika Vats Gareth O. Roberts Jeffrey S. Rosenthal 59 26 0 12 May 2021