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Fredrik Lindsten
Fredrik Lindsten
Associate Professor, Linköping University
Dirección de correo verificada de liu.se - Página principal
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Particle Gibbs with ancestor sampling
F Lindsten, MI Jordan, TB Schon
Journal of Machine Learning Research 15, 2145-2184, 2014
2602014
Backward simulation methods for Monte Carlo statistical inference
F Lindsten, TB Schön
Foundations and Trends® in Machine Learning 6 (1), 1-143, 2013
1582013
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 26, 2013
1262013
Clustering using sum-of-norms regularization: With application to particle filter output computation
F Lindsten, H Ohlsson, L Ljung
2011 IEEE Statistical Signal Processing Workshop (SSP), 201-204, 2011
892011
Evaluating model calibration in classification
J Vaicenavicius, D Widmann, C Andersson, F Lindsten, J Roll, T Schön
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
862019
Sequential Monte Carlo methods for system identification
TB Schön, F Lindsten, J Dahlin, J Wågberg, CA Naesseth, A Svensson, ...
IFAC-PapersOnLine 48 (28), 775-786, 2015
772015
Nested sequential monte carlo methods
C Naesseth, F Lindsten, T Schon
International Conference on Machine Learning, 1292-1301, 2015
762015
Just relax and come clustering!: A convexification of k-means clustering
F Lindsten, H Ohlsson, L Ljung
Linköping University Electronic Press, 2011
742011
Sequential kernel herding: Frank-Wolfe optimization for particle filtering
S Lacoste-Julien, F Lindsten, F Bach
Artificial Intelligence and Statistics, 544-552, 2015
662015
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, 2014
602014
An efficient stochastic approximation EM algorithm using conditional particle filters
F Lindsten
2013 IEEE international conference on acoustics, speech and signal …, 2013
602013
Ancestor sampling for particle Gibbs
F Lindsten, T Schön, M Jordan
Advances in Neural Information Processing Systems 25, 2012
592012
Bayesian semiparametric Wiener system identification
F Lindsten, TB Schön, MI Jordan
Automatica 49 (7), 2053-2063, 2013
562013
Coherent modulation of the sea-level annual cycle in the United States by Atlantic Rossby waves
FM Calafat, T Wahl, F Lindsten, J Williams, E Frajka-Williams
Nature communications 9 (1), 1-13, 2018
542018
Rao-Blackwellised particle methods for inference and identification
F Lindsten
Linköping University Electronic Press, 2011
522011
Uniform ergodicity of the particle Gibbs sampler
F Lindsten, R Douc, E Moulines
Scandinavian Journal of Statistics 42 (3), 775-797, 2015
502015
Geo-referencing for UAV navigation using environmental classification
F Lindsten, J Callmer, H Ohlsson, D Törnqvist, TB Schön, F Gustafsson
2010 IEEE International Conference on Robotics and Automation, 1420-1425, 2010
492010
Smoothing with couplings of conditional particle filters
PE Jacob, F Lindsten, TB Schön
Journal of the American Statistical Association, 2019
482019
Particle Metropolis–Hastings using gradient and Hessian information
J Dahlin, F Lindsten, TB Schön
Statistics and computing 25 (1), 81-92, 2015
462015
On the use of backward simulation in the particle Gibbs sampler
F Lindsten, TB Schön
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
452012
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Artículos 1–20