Marie-Liesse Cauwet
Marie-Liesse Cauwet
Mines Saint-Etienne, France
Adresse e-mail validée de emse.fr - Page d'accueil
TitreCitée parAnnée
Evolution strategies with additive noise: A convergence rate lower bound
S Astete-Morales, ML Cauwet, O Teytaud
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015
212015
Algorithm portfolios for noisy optimization: Compare solvers early
ML Cauwet, J Liu, O Teytaud
International Conference on Learning and Intelligent Optimization, 1-15, 2014
162014
Algorithm portfolios for noisy optimization
ML Cauwet, J Liu, B Rozière, O Teytaud
Annals of Mathematics and Artificial Intelligence 76 (1-2), 143-172, 2016
132016
Simple and cumulative regret for continuous noisy optimization
S Astete-Morales, ML Cauwet, J Liu, O Teytaud
Theoretical Computer Science 617, 12-27, 2016
92016
Analysis of different types of regret in continuous noisy optimization
S Astete-Morales, ML Cauwet, O Teytaud
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 205-212, 2016
82016
Noisy optimization: Fast convergence rates with comparison-based algorithms
ML Cauwet, O Teytaud
Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016
32016
Noisy optimization: Convergence with a fixed number of resamplings
ML Cauwet
European Conference on the Applications of Evolutionary Computation, 603-614, 2014
32014
Depth, balancing, and limits of the Elo model
ML Cauwet, O Teytaud, T Cazenave, A Saffidine, HM Liang, SJ Yen, ...
2015 IEEE Conference on Computational Intelligence and Games (CIG), 376-382, 2015
12015
Criteria and convergence rates in noisy optimization
S Astete-Morales, ML Cauwet, O Teytaud
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
12015
Openly revisiting derivative-free optimization
J Rapin, P Dorval, J Pondard, N Vasilache, ML Cauwet, C Couprie, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
2019
Mixed global optimization by algorithms composition: an empirical study with a focus on Bayesian approaches
ML Cauwet, R Le Riche, O Roustant
2019
Surprising strategies obtained by stochastic optimization in partially observable games
ML Cauwet, O Teytaud
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
2018
Direct Model Predictive Control: A Theoretical and Numerical Analysis
ML Cauwet, J Decock, J Liu, O Teytaud
PSCC 2018-XX Power Systems Computation Conference, 2018
2018
Uncertainties in Optimization
ML Cauwet
2016
Multivariate bias reduction in capacity expansion planning
ML Cauwet, O Teytaud
2016 Power Systems Computation Conference (PSCC), 1-8, 2016
2016
Parallel Evolutionary Algorithms Performing Pairwise Comparisons
ML Cauwet, O Teytaud, SY Chiu, KM Lin, SJ Yen, DL St-Pierre, F Teytaud
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015
2015
Noisy black-box optimization
ML Cauwet
Mémoire de Magistere de Mathématiques
ML Cauwet
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