Tutunov, Rasul

7 publications

NeurIPS 2023 Online PCA in Converging Self-Consistent Field Equations Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou Ammar, Lei Wang, Jun Wang

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

AISTATS 2020 Derivative-Free & Order-Robust Optimisation Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko

NeurIPS 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence Rasul Tutunov, Dongho Kim, Haitham Bou Ammar

ICML 2015 Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret Haitham Bou Ammar, Rasul Tutunov, Eric Eaton