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Rasul Tutunov
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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
822022
Safe policy search for lifelong reinforcement learning with sublinear regret
HB Ammar, R Tutunov, E Eaton
International Conference on Machine Learning, 2361-2369, 2015
822015
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
742019
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
612021
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
492020
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
382020
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
372023
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
352022
-Rank: Practically Scaling -Rank through Stochastic Optimisation
Y Yang, R Tutunov, P Sakulwongtana, HB Ammar
arXiv preprint arXiv:1909.11628, 2019
272019
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
202022
Compositional adam: An adaptive compositional solver
R Tutunov, M Li, AI Cowen-Rivers, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
202020
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
172021
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
132023
Graph attention memory for visual navigation
D Li, Q Zhang, D Zhao
2022 4th International Conference on Data-driven Optimization of Complex …, 2022
132022
Distributed multitask reinforcement learning with quadratic convergence
R Tutunov, D Kim, H Bou Ammar
Advances in neural information processing systems 31, 2018
132018
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
122020
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
92022
Efficient semi-implicit variational inference
V Moens, H Ren, A Maraval, R Tutunov, J Wang, H Ammar
arXiv preprint arXiv:2101.06070, 2021
92021
Distributed SDDM solvers: Theory & applications
R Tutunov, H Bou-Ammar, A Jadbabaie
arXiv preprint arXiv:1508.04096, 2015
92015
Derivative-free & order-robust optimisation
H Ammar, V Gabillon, R Tutunov, M Valko
International Conference on Artificial Intelligence and Statistics, 2293-2303, 2020
82020
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