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Andi Qi Wang
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Regeneration-enriched Markov processes with application to Monte Carlo
AQ Wang, M Pollock, GO Roberts, D Steinsaltz
The Annals of Applied Probability 31 (2), 703-735, 2021
242021
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC
C Andrieu, A Lee, S Power, AQ Wang
The Annals of Statistics 50 (6), 3592-3618, 2022
232022
An approximation scheme for quasi-stationary distributions of killed diffusions
AQ Wang, GO Roberts, D Steinsaltz
Stochastic Processes and their Applications 130 (5), 3193-3219, 2020
172020
Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles
C Andrieu, A Lee, S Power, AQ Wang
The Annals of Applied Probability 34 (4), 4022-4071, 2024
162024
Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods
C Andrieu, P Dobson, AQ Wang
Electronic Journal of Probability 26, 1-26, 2021
162021
Theoretical properties of quasi-stationary Monte Carlo methods
AQ Wang, M Kolb, GO Roberts, D Steinsaltz
The Annals of Applied Probability 29 (1), 434-457, 2019
152019
PDMP Monte Carlo methods for piecewise-smooth densities
A Chevallier, S Power, AQ Wang, P Fearnhead
Advances in Applied Probability, 1-42, 2024
142024
Poincaré inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis
C Andrieu, A Lee, S Power, AQ Wang
arXiv preprint: 2208.05239, 2022
72022
Weak Poincaré inequality comparisons for ideal and hybrid slice sampling
S Power, D Rudolf, B Sprungk, AQ Wang
arXiv preprint, 2024
52024
Weak Poincaré Inequalities for Markov chains: theory and applications
C Andrieu, A Lee, S Power, AQ Wang
arXiv preprint https://arxiv.org/abs/2312.11689, 2023
42023
Theory of killing and regeneration in continuous-time Monte Carlo sampling
AQ Wang
University of Oxford, 2020
42020
Sampling using Adaptive Regenerative Processes
H McKimm, AQ Wang, M Pollock, CP Robert, GO Roberts
Bernoulli 31 (1), 509-536, 2025
32025
Perturbation theory for killed Markov processes and quasi-stationary distributions
D Rudolf, AQ Wang
arXiv preprint: 2109.13819, 2021
22021
A note on the jump locations of Markov processes
AQ Wang, D Steinsaltz
arXiv preprint: 1901.07321, 2019
22019
Supplement to “Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC.”
C Andrieu, A Lee, S Power, AQ Wang
12022
Explicit convergence rates of underdamped Langevin dynamics under weighted and weak Poincaré--Lions inequalities
G Brigati, S Stoltz, AQ Wang, L Wang
https://arxiv.org/abs/2407.16033, 2024
2024
Andi Wang's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’
AQ Wang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
2023
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