Samuel Livingstone

According to our database, Samuel Livingstone authored at least 7 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm.

Samuel Livingstone, Nikolas Nüsken, Giorgos Vasdekis, Rui-Yang Zhang

CoRR, 2024

2023

Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models.

Xitong Liang, Samuel Livingstone, Jim E. Griffin

Entropy, September, 2023

Structure Learning with Adaptive Random Neighborhood Informed MCMC.

Xitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection.

Xitong Liang, Samuel Livingstone, Jim E. Griffin

Stat. Comput., 2022

2020

A fresh Take on 'Barker Dynamics' for MCMC.

Max Hird, Samuel Livingstone, Giacomo Zanella

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2020

2015

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families.

Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltán Szabó, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions.

Samuel Livingstone, Mark A. Girolami

Entropy, 2014