Particle filter-based Gaussian process optimisation for parameter
inference

Particle filter-based Gaussian process optimisation for parameter inference

4 November 2013

Fredrik Lindsten

Papers citing "Particle filter-based Gaussian process optimisation for parameter inference"

6 / 6 papers shown

Title
A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior Yibo Shi Braghadeesh Lakshminarayanan Cristian R. Rojas 31 0 0 08 Apr 2025
Learning nonlinear state-space models using smooth particle-filter-based likelihood approximations Andreas Svensson Fredrik Lindsten Thomas B. Schon 16 6 0 29 Nov 2017
On the construction of probabilistic Newton-type algorithms A. Wills Thomas B. Schon 18 13 0 05 Apr 2017
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods J. Dahlin M. Villani Thomas B. Schon 29 6 0 23 Jun 2015
Newton-based maximum likelihood estimation in nonlinear state space models Manon Kok J. Dahlin Thomas B. Schon A. Wills 27 10 0 12 Feb 2015
Marginalizing Gaussian Process Hyperparameters using Sequential Monte Carlo Andreas Svensson J. Dahlin Thomas B. Schon GP 50 28 0 06 Feb 2015