Cédric Malherbe

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 8

Top Topics

Global Optimization

Stochastic Gradient Descent

Image Completion

Deterministic Annealing

Top Venues

Publications

Cédric Malherbe, Kevin Scaman
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach. ICML (2022)
Kevin Scaman, Cédric Malherbe, Ludovic Dos Santos
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness. ICML (2022)
Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang
Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS (2022)
Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
BOiLS: Bayesian Optimisation for Logic Synthesis. DATE (2022)
Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
BOiLS: Bayesian Optimisation for Logic Synthesis. CoRR (2021)
Kevin Scaman, Cédric Malherbe
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations. NeurIPS (2020)
Cédric Malherbe, Nicolas Vayatis
Global optimization of Lipschitz functions. ICML (2017)
Cédric Malherbe, Emile Contal, Nicolas Vayatis
A ranking approach to global optimization. ICML (2016)