Samuel Livingstone
Statistics and Probability · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 31 citations into it; #4,790 of 12,932 by trust here, #3,255 by citations
- Probabilistic & Bayesian Methods — 24 citations into it; #1,367 of 1,525 by trust here, #1,113 by citations
- Artificial Intelligence — 21 citations into it
- Mathematical Physics — 10 citations into it; #3,779 of 8,562 by trust here, #2,582 by citations
- Statistical and Nonlinear Physics — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Samuel Livingstone trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gareth O. Roberts
- Radford M. Neal
- Michael Betancourt
- Christophe Andrieu
- John M. Lee
- Yann Ollivier
- Bharath K. Sriperumbudur
- Russel E. Caflisch
- Mark A. Girolami
- Simon N. Wood
Who trusts Samuel Livingstone overall
Papers from Samuel Livingstone's perspective
Ordered by how strongly the researchers Samuel Livingstone trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- MCMC Using Hamiltonian Dynamics
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- Hybrid Monte Carlo
- A tutorial on adaptive MCMC
- Markov Chains and Stochastic Stability
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Random Features for Large-Scale Kernel Machines
- ImageNet classification with deep convolutional neural networks
- The pseudo-marginal approach for efficient Monte Carlo computations
Their papers
- Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families (2015) — 78 citations
- The Geometric Foundations of Hamiltonian Monte Carlo (2014) — 197 citations
- Langevin diffusions and the Metropolis-adjusted Langevin algorithm (2013) — 143 citations