Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection
Problems

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Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems

1 July 2022

Hyunwoong Chang

Changwoo J. Lee

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Papers citing "Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems"

7 / 7 papers shown

Title
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs Jie Hu Yi-Ting Ma Do Young Eun 71 0 0 23 May 2025
Stereographic Multi-Try Metropolis Algorithms for Heavy-tailed Sampling Zhihao Wang Jun Yang 55 0 0 18 May 2025
On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms Francesco Pozza Giacomo Zanella 98 2 0 30 Oct 2024
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces Hyunwoong Chang Quan Zhou 79 6 0 05 Apr 2024
Importance is Important: A Guide to Informed Importance Tempering Methods Guanxun Li Aaron Smith Quan Zhou 77 2 0 13 Apr 2023
Improving multiple-try Metropolis with local balancing Philippe Gagnon Florian Maire Giacomo Zanella 85 11 0 21 Nov 2022
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 80 3 0 10 Feb 2022