Theo dõi
Samuel Power
Samuel Power
Lecturer of Statistical Science, University of Bristol
Email được xác minh tại bristol.ac.uk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Accelerated sampling on discrete spaces with non-reversible Markov processes
S Power, JV Goldman
arXiv preprint arXiv:1912.04681, 2019
262019
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
252022
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
212024
Nuzz: Numerical zig-zag for general models
F Pagani, A Chevallier, S Power, T House, S Cotter
Statistics and Computing 34 (1), 61, 2024
212024
PDMP Monte Carlo methods for piecewise-smooth densities
A Chevallier, S Power, AQ Wang, P Fearnhead
Advances in Applied Probability, 1-42, 2024
132024
Adaptive tuning for Metropolis adjusted Langevin trajectories
L Riou-Durand, P Sountsov, J Vogrinc, C Margossian, S Power
International Conference on Artificial Intelligence and Statistics, 8102-8116, 2023
92023
Weak Poincar\'e inequality comparisons for ideal and hybrid slice sampling
S Power, D Rudolf, B Sprungk, AQ Wang
arXiv preprint arXiv:2402.13678, 2024
82024
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
R Caprio, J Kuntz, S Power, AM Johansen
arXiv preprint arXiv:2403.02004, 2024
72024
Poincar\'e inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis
C Andrieu, A Lee, S Power, AQ Wang
arXiv preprint arXiv:2208.05239, 2022
72022
Perfect sampling of the posterior in the hierarchical Pitman–Yor process
S Bacallado, S Favaro, S Power, L Trippa
Bayesian analysis 17 (3), 685, 2021
62021
Momentum particle maximum likelihood
JN Lim, J Kuntz, S Power, AM Johansen
arXiv preprint arXiv:2312.07335, 2023
52023
Weak Poincar\'e Inequalities for Markov chains: theory and applications
C Andrieu, A Lee, S Power, AQ Wang
arXiv preprint arXiv:2312.11689, 2023
42023
A state-space perspective on modelling and inference for online skill rating
S Duffield, S Power, L Rimella
Journal of the Royal Statistical Society Series C: Applied Statistics 73 (5 …, 2024
32024
Bivariate causal discovery using Bayesian model selection
A Dhir, S Power, M Van Der Wilk
arXiv preprint arXiv:2306.02931, 2023
32023
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
SW Ober, S Power, T Diethe, HB Moss
arXiv preprint arXiv:2501.08223, 2025
2025
Prediction-Centric Uncertainty Quantification via MMD
Z Shen, J Knoblauch, S Power, C Oates
arXiv preprint arXiv:2410.11637, 2024
2024
Sam Power’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’
S Power
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024
2024
Exploring Probability Measures with Markov Processes
S Power
2020
Markov Chain Monte Carlo without Metropolis-Hastings
S Power
2020
Hamiltonian Monte Carlo with Finite Differences
S Power
2020
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