Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers

25 February 2013

Papers citing "Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers"

9 / 9 papers shown

Title
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 292 7,883 0 13 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 285 3,278 0 09 Jun 2012
Self-Avoiding Random Dynamics on Integer Complex Systems F. Hamze Ziyun Wang Nando de Freitas 77 25 0 23 Nov 2011
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 142 4,275 0 18 Nov 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 116 2,437 0 12 Dec 2010
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 381 279 0 28 Sep 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 131 1,616 0 21 Dec 2009
Limit theorems for some adaptive MCMC algorithms with subgeometric kernels: Part II Yves Atchadé G. Fort 82 66 0 02 Nov 2009
Grapham: Graphical Models with Adaptive Random Walk Metropolis Algorithms M. Vihola 74 13 0 25 Nov 2008