Search Results for author: Jeremy Rapin

Found 8 papers, 2 papers with code

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking

no code implementations8 Oct 2020 Laurent Meunier, Herilalaina Rakotoarison, Pak Kan Wong, Baptiste Roziere, Jeremy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr

We demonstrate the advantages of such a broad collection by deriving from it Automated Black Box Optimizer (ABBO), a general-purpose algorithm selection wizard.

EvolGAN: Evolutionary Generative Adversarial Networks

1 code implementation28 Sep 2020 Baptiste Roziere, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jeremy Rapin, Mariia Zameshina, Olivier Teytaud

We propose to use a quality estimator and evolutionary methods to search the latent space of generative adversarial networks trained on small, difficult datasets, or both.

Versatile Black-Box Optimization

no code implementations29 Apr 2020 Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Roziere, Jeremy Rapin, Fabien Teytaud, Olivier Teytaud

Choosing automatically the right algorithm using problem descriptors is a classical component of combinatorial optimization.

Combinatorial Optimization

Variance Reduction for Better Sampling in Continuous Domains

no code implementations24 Apr 2020 Laurent Meunier, Carola Doerr, Jeremy Rapin, Olivier Teytaud

Design of experiments, random search, initialization of population-based methods, or sampling inside an epoch of an evolutionary algorithm use a sample drawn according to some probability distribution for approximating the location of an optimum.

On averaging the best samples in evolutionary computation

no code implementations24 Apr 2020 Laurent Meunier, Yann Chevaleyre, Jeremy Rapin, Clément W. Royer, Olivier Teytaud

With our choice of selection rate, we get a provable regret of order $O(\lambda^{-1})$ which has to be compared with $O(\lambda^{-2/d})$ in the case where $\mu=1$.

Robust Sparse Blind Source Separation

no code implementations8 Jul 2015 Cecile Chenot, Jerome Bobin, Jeremy Rapin

Blind Source Separation is a widely used technique to analyze multichannel data.

Sparsity and adaptivity for the blind separation of partially correlated sources

1 code implementation9 Dec 2014 Jerome Bobin, Jeremy Rapin, Anthony Larue, Jean-Luc Starck

Blind source separation (BSS) is a very popular technique to analyze multichannel data.

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