Simon Byrne
Statistics and Probability · 2013–2014
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 22 citations into it; #5,617 of 12,932 by trust here, #4,809 by citations
- Probabilistic & Bayesian Methods — 21 citations into it
- Artificial Intelligence — 12 citations into it
- Mathematical Physics — 9 citations into it; #3,781 of 8,562 by trust here, #2,582 by citations
- Statistical and Nonlinear Physics — 6 citations into it
Whom Simon Byrne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Gareth O. Roberts
- Michael Betancourt
- John M. Lee
- Yann Ollivier
- Russel E. Caflisch
- Alexandros Beskos
- Shun-ichi Amari
- Mark A. Girolami
- Ernst Hairer
Who trusts Simon Byrne overall
- Michael Betancourt
- Peter J. Green
- Paul-Christian Burkner
- K. Latuszy'nski
- Wei-Lun Chao
- Alain Oliviero Durmus
- Michael Arbel
- Marcelo Pereyra
- Maren Büttner
- Xiang Cheng
Papers from Simon Byrne's perspective
Ordered by how strongly the researchers Simon Byrne trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- MCMC Using Hamiltonian Dynamics
- Markov Chains and Stochastic Stability
- Optimal scaling of discrete approximations to Langevin diffusions
- Hybrid Monte Carlo
- General state space Markov chains and MCMC algorithms
- Exponential convergence of Langevin distributions and their discrete approximations
- Handbook of Markov Chain Monte Carlo
- Simulating Hamiltonian dynamics
Their papers
- The Geometric Foundations of Hamiltonian Monte Carlo (2014) — 197 citations
- Langevin diffusions and the Metropolis-adjusted Langevin algorithm (2013) — 143 citations
- Optimizing The Integrator Step Size for Hamiltonian Monte Carlo (2014) — 83 citations