Posts by Tags

Conference

Feynmac-Kac

Stochastic algorithms in Machine Learning

11 minute read

Published:

This note is an attempt to convey the main ideas and notions of the talk entitled “Stochastic algorithms in Machine Learning” given by Aymeric Dieuleveut (EPFL, Lausanne, Switzerland) during the Stochastic algorithm Day 2017 (Journée algorithmes stochastiques 2017). This conference was held at Université Paris Dauphine (Paris, France) on December 1st, 2017.

MCMC

Markov chain Monte Carlo and tall data

9 minute read

Published:

This note is an attempt to convey the main ideas and notions of the talk entitled “On Markov chain Monte Carlo and tall data” given by Rémi Bardenet (CNRS, Lille, France) during the Stochastic algorithm Day 2017 (Journée algorithmes stochastiques 2017). This conference was held at Université Paris Dauphine (Paris, France) on December 1st, 2017.

Metropolis-Hastings

Markov chain Monte Carlo and tall data

9 minute read

Published:

This note is an attempt to convey the main ideas and notions of the talk entitled “On Markov chain Monte Carlo and tall data” given by Rémi Bardenet (CNRS, Lille, France) during the Stochastic algorithm Day 2017 (Journée algorithmes stochastiques 2017). This conference was held at Université Paris Dauphine (Paris, France) on December 1st, 2017.

Particle filtering

Stochastic algorithms in Machine Learning

11 minute read

Published:

This note is an attempt to convey the main ideas and notions of the talk entitled “Stochastic algorithms in Machine Learning” given by Aymeric Dieuleveut (EPFL, Lausanne, Switzerland) during the Stochastic algorithm Day 2017 (Journée algorithmes stochastiques 2017). This conference was held at Université Paris Dauphine (Paris, France) on December 1st, 2017.

Petroleum Geostatistics

Sequential Monte Carlo

Stochastic algorithms in Machine Learning

11 minute read

Published:

This note is an attempt to convey the main ideas and notions of the talk entitled “Stochastic algorithms in Machine Learning” given by Aymeric Dieuleveut (EPFL, Lausanne, Switzerland) during the Stochastic algorithm Day 2017 (Journée algorithmes stochastiques 2017). This conference was held at Université Paris Dauphine (Paris, France) on December 1st, 2017.

Tall data

Markov chain Monte Carlo and tall data

9 minute read

Published:

This note is an attempt to convey the main ideas and notions of the talk entitled “On Markov chain Monte Carlo and tall data” given by Rémi Bardenet (CNRS, Lille, France) during the Stochastic algorithm Day 2017 (Journée algorithmes stochastiques 2017). This conference was held at Université Paris Dauphine (Paris, France) on December 1st, 2017.