26 citations · 42 across the 3 of their papers we have counts for
3 papers
Distributed, scalable and gossip-free consensus optimization with application to data analysis
Sina Khoshfetrat Pakazad, Christian A. Naesseth, Fredrik Lindsten +1
Distributed algorithms for solving additive or consensus optimization problems commonly rely on first-order or proximal splitting methods. These algorithms generally come with rest…
Particle ancestor sampling for near-degenerate or intractable state transition models
Fredrik Lindsten, Pete Bunch, Sumeetpal S. Singh +1
We consider Bayesian inference in sequential latent variable models in general, and in nonlinear state space models in particular (i.e., state smoothing). We work with sequential M…
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach
Recently, the Frank-Wolfe optimization algorithm was suggested as a procedure to obtain adaptive quadrature rules for integrals of functions in a reproducing kernel Hilbert space (…