Safe policy search for lifelong reinforcement learning with sublinear regret HB Ammar, R Tutunov, E Eaton
International Conference on Machine Learning, 2361-2369, 2015
70 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
64 2019 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
49 2022 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
46 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
43 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
28 2020 Y Yang, R Tutunov, P Sakulwongtana, HB Ammar
arXiv preprint arXiv:1909.11628, 2019
24 2019 Compositional adam: An adaptive compositional solver R Tutunov, M Li, AI Cowen-Rivers, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
19 2020 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
16 2022 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
15 2023 Are we forgetting about compositional optimisers in bayesian optimisation? A Grosnit, AI Cowen-Rivers, R Tutunov, RR Griffiths, J Wang, ...
The Journal of Machine Learning Research 22 (1), 7183-7260, 2021
15 2021 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
13 2022 Distributed multitask reinforcement learning with quadratic convergence R Tutunov, D Kim, H Bou Ammar
Advances in neural information processing systems 31, 2018
12 2018 Distributed SDDM solvers: Theory & applications R Tutunov, H Bou-Ammar, A Jadbabaie
arXiv preprint arXiv:1508.04096, 2015
9 2015 Graph attention memory for visual navigation D Li, Q Zhang, D Zhao
2022 4th International Conference on Data-driven Optimization of Complex …, 2022
8 2022 Derivative-free & order-robust optimisation H Ammar, V Gabillon, R Tutunov, M Valko
International Conference on Artificial Intelligence and Statistics, 2293-2303, 2020
7 2020 Y Yang, R Tutunov, P Sakulwongtana, HB Ammar, J Wang
7 2019 A fast distributed solver for symmetric diagonally dominant linear equations R Tutunov, HB Ammar, A Jadbabaie
arXiv preprint arXiv:1502.03158, 2015
7 2015 An exact distributed newton method for reinforcement learning R Tutunov, HB Ammar, A Jadbabaie
2016 IEEE 55th Conference on Decision and Control (CDC), 1003-1008, 2016
6 2016 Efficient semi-implicit variational inference V Moens, H Ren, A Maraval, R Tutunov, J Wang, H Ammar
arXiv preprint arXiv:2101.06070, 2021
5 2021 