Search Results for author: Felix L. Rios

Found 4 papers, 3 papers with code

Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms

2 code implementations8 Jul 2021 Felix L. Rios, Giusi Moffa, Jack Kuipers

To facilitate the benchmarking of different methods, we present a novel Snakemake workflow, called Benchpress for producing scalable, reproducible, and platform-independent benchmarks of structure learning algorithms for probabilistic graphical models.

Benchmarking

Sequential sampling of junction trees for decomposable graphs

1 code implementation2 Jun 2018 Jimmy Olsson, Tetyana Pavlenko, Felix L. Rios

On the other hand, the junction-tree collapser provides a complementary operation for removing vertices in the underlying decomposable graph of a junction tree, while maintaining the junction tree property.

Statistics Theory Discrete Mathematics Combinatorics Statistics Theory

Bayesian inference in decomposable graphical models using sequential Monte Carlo methods

1 code implementation31 May 2018 Jimmy Olsson, Tetyana Pavlenko, Felix L. Rios

The theoretical properties of the algorithm are investigated, showing in particular that the refreshment step improves the algorithm performance in terms of asymptotic variance of the estimated distribution.

Statistics Theory Statistics Theory

A Prior Distribution over Directed Acyclic Graphs for Sparse Bayesian Networks

no code implementations25 Apr 2015 Felix L. Rios, John M. Noble, Timo J. T. Koski

The main contribution of this article is a new prior distribution over directed acyclic graphs, which gives larger weight to sparse graphs.

Cannot find the paper you are looking for? You can Submit a new open access paper.