Search Results for author: Marco Cox

Found 2 papers, 1 papers with code

On Preference Learning Based on Sequential Bayesian Optimization with Pairwise Comparison

no code implementations24 Mar 2021 Tanya Ignatenko, Kirill Kondrashov, Marco Cox, Bert de Vries

To efficiently learn the preferences and reduce search space quickly, we propose the agent that interacts with the user to collect the most informative data for learning.

Bayesian Optimization

A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms

1 code implementation8 Nov 2018 Marco Cox, Thijs van de Laar, Bert de Vries

This paper explores a specific probabilistic programming paradigm, namely message passing in Forney-style factor graphs (FFGs), in the context of automated design of efficient Bayesian signal processing algorithms.

Probabilistic Programming Variational Inference

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