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A SIGEVO impact award for a paper arising from the COCO platformACM SIGEVOlution, 2021, 13 (4), pp.1-11. ⟨10.1145/3447929.3447930⟩
Journal articles
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Benchmarking large-scale continuous optimizers: the bbob-largescale testbed, a COCO software guide and beyondApplied Soft Computing, 2020, 97 (A), pp.106737. ⟨10.1016/j.asoc.2020.106737⟩
Journal articles
hal-02960253v1
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Modèles Génératifs Profonds : l'échantillonnage en haute dimension revisitéSéminaire du LIRIMA, Jan 2020, Benguerir, Maroc
Conference papers
hal-03585558v1
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Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance PrinciplesJournal of Machine Learning Research, 2017, 18 (18), pp.1-65
Journal articles
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CMA-ES and advanced adaptation mechanismsGECCO 2022 - Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp.1243-1268. ⟨10.1145/3520304.3533648⟩
Other publications
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Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic FunctionsProceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA, Jan 2017, Copenhagen, Denmark. pp.111-126, ⟨10.1145/3040718.3040720⟩
Conference papers
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Diagonal Acceleration for Covariance Matrix Adaptation Evolution StrategiesEvolutionary Computation, 2020, 28 (3), pp.405-435. ⟨10.1162/evco_a_00260⟩
Journal articles
hal-01995373v2
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A Global Surrogate Assisted CMA-ESGECCO 2019 - The Genetic and Evolutionary Computation Conference, ACM, Jul 2019, Prague, Czech Republic. pp.664-672, ⟨10.1145/3321707.3321842⟩
Conference papers
hal-02143961v1
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Phased-Array Antenna Pattern Optimization with Evolution Strategies2020 IEEE International Radar Conference, Sep 2020, Fiorenza, Italy. ⟨10.1109/RadarConf2043947.2020.9266631⟩
Conference papers
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Augmented Lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ESGECCO 2021 - The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. ⟨10.1145/3449639.3459340⟩
Conference papers
hal-03196365v2
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Anytime Performance Assessment in Blackbox Optimization BenchmarkingIEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
Journal articles
hal-03814997v2
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A Practical Guide to Experimentation (and Benchmarking)GECCO '18 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Documents associated with scientific events
hal-01959453v1
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CMA-ES and Advanced Adaptation MechanismsGECCO '18 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Documents associated with scientific events
hal-01959479v1
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COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite2019
Preprints, Working Papers, ...
hal-02068407v2
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CMA-ES and advanced adaptation mechanismsGECCO 2021 - Genetic and Evolutionary Computation Conference Companion, 2021, pp.636-663. ⟨10.1145/3449726.3462748⟩
Other publications
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Unsupervised Scalable Representation Learning for Multivariate Time SeriesHanna Wallach; Hugo Larochelle; Alina Beygelzimer; Florence d'Alché-Buc; Emily Fox; Roman Garnett. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. Curran Associates, Inc., 32, Advances in Neural Information Processing Systems
Conference poster
hal-02320167v2
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On Bi-Objective convex-quadratic problemsEMO 2019 - 10th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2019, East Lansing, Michigan, United States
Conference papers
hal-01942159v1
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GECCO 2021 Tutorial on Benchmarking Multiobjective Optimizers 2.0GECCO 2021 - Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille, France. ACM, pp.664-668, Proceedings of the Genetic and Evolutionary Computation Conference Companion. ⟨10.1145/3449726.3461421⟩
Documents associated with scientific events
hal-03536577v1
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Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic FunctionsTheoretical Computer Science, 2020, 832, pp.42-67. ⟨10.1016/j.tcs.2018.05.015⟩
Journal articles
hal-01662568v1
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Benchmarking MO-CMA-ES and COMO-CMA-ES on the Bi-objective bbob-biobj TestbedGECCO 2019 Companion - The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. ⟨10.1145/3319619.3326892⟩
Conference papers
hal-02161252v1
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The Impact of Sample Volume in Random Search on the bbob Test SuiteGECCO '19 Companion: The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. ⟨10.1145/3319619.3326894⟩
Conference papers
hal-02171213v1
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DMS and MultiGLODS: Black-Box Optimization Benchmarking of Two Direct Search Methods on the bbob-biobj Test SuiteGECCO 2021 Companion - Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille / Virtual, France. pp.8, ⟨10.1145/3449726.3463207⟩
Conference papers
hal-03284476v1
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Game on Random Environment, Mean-field Langevin System and Neural Networks2020
Preprints, Working Papers, ...
hal-02532096v2
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Benchmarking Multivariate Solvers of SciPy on the Noiseless TestbedGECCO 2019 Companion - The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. ⟨10.1145/3319619.3326891⟩
Conference papers
hal-02160099v1
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Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test SuitesEvolutionary Computation, 2022, 30 (2), pp.165-193. ⟨10.1162/evco_a_00298⟩
Journal articles
hal-01296987v4
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Stopping Criteria, Initialization, and Implementations of BFGS and their Effect on the BBOB Test SuiteGECCO '18 Companion, Jul 2018, Kyoto, Japan. ⟨10.1145/3205651.3208303⟩
Conference papers
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Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore frameworkGECCO 2019 - The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. ⟨10.1145/3321707.3321852⟩
Conference papers
hal-02103694v1
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Unsupervised Scalable Representation Learning for Multivariate Time SeriesThirty-third Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Dec 2019, Vancouver, Canada. pp.4650--4661
Conference papers
hal-01998101v4
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A Comparative Study of Large-scale Variants of CMA-ESPPSN XV 2018 - 15th International Conference on Parallel Problem Solving from Nature, Sep 2018, Coimbra, Portugal. pp.3-15, ⟨10.1007/978-3-319-99253-2_1⟩
Conference papers
hal-01881454v2
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Benchmarking CMAES-APOP on the BBOB noiseless testbedProceedings of the 2017 Genetic and Evolutionary Computation Conference Companion (GECCO '17 Companion), Jul 2017, Berlin, Germany. pp.1756 - 1763, ⟨10.1145/2908812.2908864⟩
Conference papers
hal-01591423v1
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