A ranking approach to global optimization. - Cédric Malherbe; Emile Contal; Nicolas Vayatis (ICML, 2016)

Global optimization of Lipschitz functions. - Cédric Malherbe; Nicolas Vayatis (ICML, 2017)

Quelques contribtuions à l'optimisation globale. (Contributions to global optimization). - Cédric Malherbe (2017)

Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations. - Kevin Scaman; Cédric Malherbe (NeurIPS, 2020)

BOiLS: Bayesian Optimisation for Logic Synthesis. - Antoine Grosnit; Cédric Malherbe; Rasul Tutunov; Xingchen Wan; Jun Wang 012; Haitham Bou-Ammar (DATE, 2022)

Robustness in Multi-Objective Submodular Optimization: a Quantile Approach. - Cédric Malherbe; Kevin Scaman (ICML, 2022)

Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness. - Kevin Scaman; Cédric Malherbe; Ludovic Dos Santos (ICML, 2022)

Optimistic Tree Searches for Combinatorial Black-Box Optimization. - Cédric Malherbe; Antoine Grosnit; Rasul Tutunov; Haitham Bou-Ammar; Jun Wang 012 (NeurIPS, 2022)

Measures of diversity and space-filling designs for categorical data. - Cédric Malherbe; Emilio Domínguez-Sánchez; Merwan Barlier; Igor Colin; Haitham Bou-Ammar; Tom Diethe (ICML, 2024)