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20 papers · 1 filter
On the Wasserstein Geodesic Principal Component Analysis of probability measures
Nina Vesseron, Elsa Cazelles, Alice Le Brigant +1
This paper focuses on Geodesic Principal Component Analysis (GPCA) on a collection of probability distributions using the Otto-Wasserstein geometry. The goal is to identify geodesi…
Actor-Critic learning for mean-field control in continuous time
Noufel Frikha, Maximilien Germain, Mathieu Laurière +2
We study policy gradient for mean-field control in continuous time in a reinforcement learning setting. By considering randomised policies with entropy regularisation, we derive a…
Neural interval-censored survival regression with feature selection
Carlos García Meixide, Marcos Matabuena, Louis Abraham +1
Survival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine. This prominence is due to the increasing prevalence o…
The State of the Art in Integrating Machine Learning into Visual Analytics
A. Endert, W. Ribarsky, C. Turkay +4
Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through su…
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
Marco Corneli, Pierre Latouche, Fabrice Rossi
We develop a model in which interactions between nodes of a dynamic network are counted by non homogeneous Poisson processes. In a block modelling perspective, nodes belong to hidd…
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
In statistical learning for real-world large-scale data problems, one must often resort to "streaming" algorithms which operate sequentially on small batches of data. In this work,…