| 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 | 31 | 2015 |
| Algorithm portfolios for noisy optimization ML Cauwet, J Liu, B Rozière, O Teytaud Annals of Mathematics and Artificial Intelligence 76, 143-172, 2016 | 30 | 2016 |
| Algorithm portfolios for noisy optimization: Compare solvers early ML Cauwet, J Liu, O Teytaud Learning and Intelligent Optimization: 8th International Conference, Lion 8 …, 2014 | 30 | 2014 |
| Fully parallel hyperparameter search: Reshaped space-filling ML Cauwet, C Couprie, J Dehos, P Luc, J Rapin, M Riviere, F Teytaud, ... International Conference on Machine Learning, 1338-1348, 2020 | 28 | 2020 |
| Simple and cumulative regret for continuous noisy optimization S Astete-Morales, ML Cauwet, J Liu, O Teytaud Theoretical Computer Science 617, 12-27, 2016 | 13 | 2016 |
| Static vs dynamic FRR sizing for power systems with increasing amounts of renewables ML Cauwet, E Karangelos, L Wehenkel, B Georis 2019 IEEE Milan PowerTech, 1-6, 2019 | 7 | 2019 |
| 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 | 7 | 2016 |
| Noisy optimization: Fast convergence rates with comparison-based algorithms ML Cauwet, O Teytaud Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 5 | 2016 |
| Noisy optimization: Convergence with a fixed number of resamplings ML Cauwet Applications of Evolutionary Computation: 17th European Conference …, 2014 | 5 | 2014 |
| 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 | 4 | 2015 |
| Population control meets doob's martingale theorems: the noise-free multimodal case ML Cauwet, O Teytaud Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 2 | 2020 |
| 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 | 2 | 2019 |
| Multivariate bias reduction in capacity expansion planning ML Cauwet, O Teytaud 2016 Power Systems Computation Conference (PSCC), 1-8, 2016 | 2 | 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 | 2 | 2015 |
| 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 | 1 | 2018 |
| Uncertainties in Optimization ML Cauwet Université Paris Saclay (COmUE), 2016 | 1 | 2016 |
| 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 | 1 | 2015 |
| Mixed global optimization by algorithms composition: an empirical study with a focus on Bayesian approaches ML Cauwet, R Le Riche, O Roustant 30th European conference on operational research, EURO2019, 2019 | | 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 |
| Noisy black-box optimization ML Cauwet | | 2016 |
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