Samuel Livingstone

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 7

Top Topics

Markov Chain Monte Carlo

Top Venues

Publications

Samuel Livingstone, Nikolas Nüsken, Giorgos Vasdekis, Rui-Yang Zhang
Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm. CoRR (2024)
Alberto Caron, Xitong Liang, Samuel Livingstone, Jim Griffin
Structure Learning with Adaptive Random Neighborhood Informed MCMC. CoRR (2023)
Xitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin
Structure Learning with Adaptive Random Neighborhood Informed MCMC. NeurIPS (2023)
Xitong Liang, Samuel Livingstone, Jim E. Griffin
Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models. Entropy 25 (9) (2023)
Xitong Liang, Samuel Livingstone, Jim Griffin
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection. Stat. Comput. 32 (5) (2022)
Max Hird, Samuel Livingstone, Giacomo Zanella
A fresh Take on 'Barker Dynamics' for MCMC. MCQMC (2020)
Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltán Szabó, Arthur Gretton
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families. NIPS (2015)
Samuel Livingstone, Mark A. Girolami
Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions. Entropy 16 (6) (2014)