Rasul Tutunov
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Safe policy search for lifelong reinforcement learning with sublinear regret
HB Ammar, R Tutunov, E Eaton
International Conference on Machine Learning, 2361-2369, 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
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
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
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
-Rank: Practically Scaling -Rank through Stochastic Optimisation
Y Yang, R Tutunov, P Sakulwongtana, HB Ammar
arXiv preprint arXiv:1909.11628, 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
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
Compositional adam: An adaptive compositional solver
R Tutunov, M Li, AI Cowen-Rivers, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
Distributed multitask reinforcement learning with quadratic convergence
R Tutunov, D Kim, H Bou Ammar
Advances in neural information processing systems 31, 2018
Graph attention memory for visual navigation
D Li, Q Zhang, D Zhao
2022 4th International Conference on Data-driven Optimization of Complex …, 2022
Antbo: Towards real-world automated antibody design with combinatorial bayesian optimisation
A Khan, AI Cowen-Rivers, DGX Deik, A Grosnit, K Dreczkowski, ...
arXiv preprint arXiv:2201.12570, 2022
Distributed SDDM solvers: Theory & applications
R Tutunov, H Bou-Ammar, A Jadbabaie
arXiv preprint arXiv:1508.04096, 2015
A fast distributed solver for symmetric diagonally dominant linear equations
R Tutunov, HB Ammar, A Jadbabaie
arXiv preprint arXiv:1502.03158, 2015
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
Derivative-free & order-robust optimisation
H Ammar, V Gabillon, R Tutunov, M Valko
International Conference on Artificial Intelligence and Statistics, 2293-2303, 2020
-Rank: Scalable Multi-agent Evaluation through Evolution
Y Yang, R Tutunov, P Sakulwongtana, HB Ammar, J Wang
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
Efficient semi-implicit variational inference
V Moens, H Ren, A Maraval, R Tutunov, J Wang, H Ammar
arXiv preprint arXiv:2101.06070, 2021
Distributed lifelong reinforcement learning with sub-linear regret
R Tutunov, J El-Zini, H Bou-Ammar, A Jadbabaie
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2254-2259, 2017
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