Joaquín Fontbona

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 8

Top Topics

Graduate Students

Brownian Motion

Bayesian Learning

Top Venues

J. Appl. Probab.

SIAM J. Financial Math.

IEEE Signal Process. Mag.

Publications

Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona
Streaming computation of optimal weak transport barycenters. CoRR (2021)
Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
Data Science for Engineers: A Teaching Ecosystem. CoRR (2021)
Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona
A novel notion of barycenter for probability distributions based on optimal weak mass transport. NeurIPS (2021)
Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
Data Science for Engineers: A Teaching Ecosystem. IEEE Signal Process. Mag. 38 (3) (2021)
Dorottya Fekete, Joaquín Fontbona, Andreas E. Kyprianou
Skeletal stochastic differential equations for superprocesses. J. Appl. Probab. 57 (4) (2020)
Dorottya Fekete, Joaquín Fontbona, Andreas E. Kyprianou
Skeletal stochastic differential equations for continuous-state branching processes. J. Appl. Probab. 56 (4) (2019)
Gonzalo Rios, Julio D. Backhoff Veraguas, Joaquín Fontbona, Felipe A. Tobar
Bayesian Learning with Wasserstein Barycenters. CoRR (2018)
Julio D. Backhoff Veraguas, Joaquín Fontbona
Robust Utility Maximization without Model Compactness. SIAM J. Financial Math. 7 (1) (2016)
Joaquín Fontbona, Sylvie Méléard
A random space-time birth particle method for 2d vortex equations with external field. Math. Comput. 77 (263) (2008)