Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
Journal of Artificial Intelligence Research 74, 1269-1349, 2022
83 2022 Safe policy search for lifelong reinforcement learning with sublinear regret HB Ammar, R Tutunov, E Eaton
International Conference on Machine Learning, 2361-2369, 2015
82 2015 Distributed newton method for large-scale consensus optimization R Tutunov, H Bou-Ammar, A Jadbabaie
IEEE Transactions on Automatic Control 64 (10), 3983-3994, 2019
75 2019 High-dimensional Bayesian optimisation with variational autoencoders and deep metric learning A Grosnit, R Tutunov, AM Maraval, RR Griffiths, AI Cowen-Rivers, L Yang, ...
arXiv preprint arXiv:2106.03609, 2021
61 2021 An empirical study of assumptions in Bayesian optimisation AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
arXiv preprint arXiv:2012.03826 445, 2020
49 2020 Hebo: Heteroscedastic evolutionary bayesian optimisation AI Cowen-Rivers, W Lyu, Z Wang, R Tutunov, H Jianye, J Wang, ...
arXiv preprint arXiv:2012.03826 7, 2020
38 2020 Toward real-world automated antibody design with combinatorial Bayesian optimization A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ...
Cell Reports Methods 3 (1), 2023
37 2023 Boils: Bayesian optimisation for logic synthesis A Grosnit, C Malherbe, R Tutunov, X Wan, J Wang, HB Ammar
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022
36 2022 Y Yang, R Tutunov, P Sakulwongtana, HB Ammar
arXiv preprint arXiv:1909.11628, 2019
27 2019 Antbo: Towards real-world automated antibody design with combinatorial bayesian optimisation A Khan, AI Cowen-Rivers, A Grosnit, DGX Deik, PA Robert, V Greiff, ...
arXiv preprint arXiv:2201.12570, 2022
20 2022 Compositional adam: An adaptive compositional solver R Tutunov, M Li, AI Cowen-Rivers, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
20 2020 Are we forgetting about compositional optimisers in Bayesian optimisation? A Grosnit, AI Cowen-Rivers, R Tutunov, RR Griffiths, J Wang, ...
Journal of Machine Learning Research 22 (160), 1-78, 2021
17 2021 Why Can Large Language Models Generate Correct Chain-of-Thoughts? R Tutunov, A Grosnit, J Ziomek, J Wang, H Bou-Ammar
arXiv preprint arXiv:2310.13571, 2023
15 2023 Graph attention memory for visual navigation D Li, Q Zhang, D Zhao
2022 4th International Conference on Data-driven Optimization of Complex …, 2022
13 2022 Distributed multitask reinforcement learning with quadratic convergence R Tutunov, D Kim, H Bou Ammar
Advances in neural information processing systems 31, 2018
13 2018 HEBO pushing the limits of sample-efficient hyperparameter optimisation AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
arXiv preprint arXiv:2012.03826, 2020
12 2020 BOiLS: Bayesian optimisation for logic synthesis. In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) A Grosnit, C Malherbe, R Tutunov, X Wan, J Wang, HB Ammar
IEEE, 2022
9 2022 Efficient semi-implicit variational inference V Moens, H Ren, A Maraval, R Tutunov, J Wang, H Ammar
arXiv preprint arXiv:2101.06070, 2021
9 2021 Distributed SDDM solvers: Theory & applications R Tutunov, H Bou-Ammar, A Jadbabaie
arXiv preprint arXiv:1508.04096, 2015
9 2015 Derivative-free & order-robust optimisation H Ammar, V Gabillon, R Tutunov, M Valko
International Conference on Artificial Intelligence and Statistics, 2293-2303, 2020
8 2020 