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Global optimization of Lipschitz functions.

, and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2314-2323. PMLR, (2017)

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Quelques contribtuions à l'optimisation globale. (Contributions to global optimization).. École normale supérieure Paris-Saclay, Cachan, France, (2017)BOiLS: Bayesian Optimisation for Logic Synthesis., , , , , and . DATE, page 1193-1196. IEEE, (2022)Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 19310-19327. PMLR, (2022)Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations., and . NeurIPS, (2020)Global optimization of Lipschitz functions., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2314-2323. PMLR, (2017)A ranking approach to global optimization., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1539-1547. JMLR.org, (2016)Optimistic Tree Searches for Combinatorial Black-Box Optimization., , , , and . NeurIPS, (2022)Robustness in Multi-Objective Submodular Optimization: a Quantile Approach., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14871-14886. PMLR, (2022)