activity
20122021
most citedMean-Field Learning: a Survey

6 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2021

On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods

Luis Espath, Sebastian Krumscheid, Raúl Tempone +1

In this study, we demonstrate that the norm test and inner product/orthogonality test presented in \cite{Bol18} are equivalent in terms of the convergence rates associated with Sto…

math.NA2018

Information-based Variational Model Reduction of high-dimensional Reaction Networks

Markos A. Katsoulakis, Pedro Vilanova

In this work we present new scalable, information theory-based variational methods for the efficient model reduction of high-dimensional deterministic and stochastic reaction netwo…

math.NA2015★ 1 cited

An Efficient Forward-Reverse Expectation-Maximization Algorithm for Statistical Inference in Stochastic Reaction Networks

Christian Bayer, Alvaro Moraes, Raul Tempone +1

In this work, we present an extension to the context of Stochastic Reaction Networks (SRNs) of the forward-reverse representation introduced in "Simulation of forward-reverse stoch…

math.NA2014

A multilevel adaptive reaction-splitting simulation method for stochastic reaction networks

Alvaro Moraes, Raul Tempone, Pedro Vilanova

Stochastic modeling of reaction networks is a framework used to describe the time evolution of many natural and artificial systems, including, biochemical reactive systems at the m…

cs.LG2012★ 6 cited

Mean-Field Learning: a Survey

Hamidou Tembine, Raul Tempone, Pedro Vilanova

In this paper we study iterative procedures for stationary equilibria in games with large number of players. Most of learning algorithms for games with continuous action spaces are…