We describe a novel approach to quadrature for ratios of probabilistic integrals, such as are used to compute posterior probabilities. This approach offers performance superior t...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
When teaching concurrency, using a process-oriented language, it is often introduced through a visual representation of programs in the form of process network . These diagrams all...
This experience report demonstrates several running programs with visual, animated, colorful displays of "algorithms in action." A common element of all of the programs ...
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...