Fredrik Lindsten
Fredrik Lindsten
Senior Lecturer, Department of Information Technology, Uppsala University
Verified email at it.uu.se - Homepage
TitleCited byYear
Particle Gibbs with Ancestor Sampling
F Lindsten, MI Jordan, TB Schön
Journal of Machine Learning Research 15, 2145-2184, 2014
1362014
Backward simulation methods for Monte Carlo statistical inference
F Lindsten, TB Schön
Foundations and Trends® in Machine Learning 6 (1), 1-143, 2013
1112013
Bayesian inference and learning in Gaussian process state-space models with particle MCMC
R Frigola, F Lindsten, TB Schön, CE Rasmussen
Advances in Neural Information Processing Systems, 3156-3164, 2013
592013
Ancestor sampling for particle Gibbs
F Lindsten, MI Jordan, TB Schön
Advances in Neural Information Processing Systems 25, 2600-2608, 2012
462012
Nested sequential Monte Carlo methods
CA Naesseth, F Lindsten, TB Schön
32nd International Conference on Machine Learning (ICML), 2015
442015
Clustering using sum-of-norms regularization: With application to particle filter output computation
F Lindsten, H Ohlsson, L Ljung
Statistical Signal Processing Workshop (SSP), 2011 IEEE, 201-204, 2011
432011
Sequential Monte Carlo methods for system identification
TB Schön, F Lindsten, J Dahlin, J Wågberg, CA Naesseth, A Svensson, ...
arXiv preprint arXiv:1503.06058, 2015
412015
Just relax and come clustering!: A convexification of k-means clustering
F Lindsten, H Ohlsson, L Ljung
Linköping University Electronic Press, 2011
392011
An efficient stochastic approximation EM algorithm using conditional particle filters
F Lindsten
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
372013
Uniform ergodicity of the Particle Gibbs sampler
F Lindsten, R Douc, E Moulines
Scandinavian Journal of Statistics 42 (3), 775-797, 2015
342015
Bayesian semiparametric Wiener system identification
F Lindsten, TB Schön, MI Jordan
Automatica 49 (7), 2053-2063, 2013
342013
Recursive maximum likelihood identification of jump Markov nonlinear systems
E Özkan, F Lindsten, C Fritsche, F Gustafsson
IEEE Transactions on Signal Processing 63 (3), 754-765, 2015
332015
Rao-Blackwellised particle methods for inference and identification
F Lindsten
Linköping University Electronic Press, 2011
332011
Sequential Monte Carlo for graphical models
CA Naesseth, F Lindsten, TB Schön
Advances in Neural Information Processing Systems, 1862-1870, 2014
312014
On the use of backward simulation in the particle Gibbs sampler
F Lindsten, TB Schön
37th IEEE International Conference on Acoustics, Speech, and Signal …, 2012
312012
Particle Metropolis–Hastings using gradient and Hessian information
J Dahlin, F Lindsten, TB Schön
Statistics and computing 25 (1), 81-92, 2015
302015
Geo-referencing for UAV navigation using environmental classification
F Lindsten, J Callmer, H Ohlsson, D Törnqvist, TB Schön, F Gustafsson
Robotics and Automation (ICRA), 2010 IEEE International Conference on, 1420-1425, 2010
262010
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
S Lacoste-Julien, F Lindsten, F Bach
18th International Conference on Artificial Intelligence and Statistics …, 2015
242015
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models
F Lindsten, P Bunch, SJ Godsill, TB Schön
38th International Conference on Acoustics, Speech, and Signal Processing …, 2013
232013
Adaptive stopping for fast particle smoothing
E Taghavi, F Lindsten, L Svensson, TB Schön
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
212013
The system can't perform the operation now. Try again later.
Articles 1–20