Amine Bermak
2004
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.
Whom Amine Bermak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Amine Bermak overall
Papers from Amine Bermak's perspective
Ordered by how strongly the researchers Amine Bermak trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian learning for neural networks
- Neural Networks for Pattern Recognition
- Optimal scaling for various Metropolis-Hastings algorithms
- On adaptive Markov chain Monte Carlo algorithms
- Sampling-Based Approaches to Calculating Marginal Densities
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Optimal scaling of discrete approximations to Langevin diffusions
- Modelling Heterogeneity With and Without the Dirichlet Process
- Sampling from multimodal distributions using tempered transitions
- Exponential convergence of Langevin distributions and their discrete approximations
Their papers
- Gaussian process for nonstationary time series prediction (2004) — 301 citations