Grosnit, Antoine

5 publications

NeurIPS 2023 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou Ammar

NeurIPS 2023 Framework and Benchmarks for Combinatorial and Mixed-Variable Bayesian Optimization Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar

JAIR 2022 HEBO: An Empirical Study of Assumptions in Bayesian Optimisation Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar

NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization Cedric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou Ammar, Jun Wang

JMLR 2021 Are We Forgetting About Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar