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Emile Contal
Emile Contal
Crossing Minds
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Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
E Contal, D Buffoni, A Robicquet, N Vayatis
Machine Learning and Knowledge Discovery in Databases, 225-240, 2013
2282013
Beyond skill rating: Advanced matchmaking in ghost recon online
O Delalleau, E Contal, E Thibodeau-Laufer, RC Ferrari, Y Bengio, ...
IEEE Transactions on Computational Intelligence and AI in Games 4 (3), 167-177, 2012
1162012
Gaussian Process Optimization with Mutual Information
E Contal, V Perchet, N Vayatis
Proceedings of The 31st International Conference on Machine Learning, 253-261, 2014
1142014
Prediction and optimization of wave energy converter arrays using a machine learning approach
D Sarkar, E Contal, N Vayatis, F Dias
Renewable Energy 97, 504-517, 2016
892016
Can small islands protect nearby coasts from tsunamis? An active experimental design approach
TS Stefanakis, E Contal, N Vayatis, F Dias, CE Synolakis
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014
532014
Preprocessing the Nintendo Wii board signal to derive more accurate descriptors of statokinesigrams
J Audiffren, E Contal
Sensors 16 (8), 1208, 2016
402016
Preface to ECML PKDD 2014: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
T Calders, F Esposito, E Hüllermeier, R Meo
Springer 8724 (1, 2, 3), 111-749, 2014
34*2014
A ranking approach to global optimization
C Malherbe, E Contal, N Vayatis
International Conference on Machine Learning, 1539-1547, 2016
142016
Optimization for gaussian processes via chaining
E Contal, C Malherbe, N Vayatis
arXiv preprint arXiv:1510.05576, 2015
122015
Stochastic process bandits: Upper confidence bounds algorithms via generic chaining
E Contal, N Vayatis
arXiv preprint arXiv:1602.04976, 2016
82016
Machine Learning and Knowledge Discovery in Databases, chapter Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
E Contal, D Buffoni, A Robicquet, N Vayatis
Springer Berlin Heidelberg, 2013
62013
Parallel Gaussian Process optimization with pure exploration
E Contal, D Buffoni, A Robicquet, N Vayatis
Proceedings of ICML (pending approval) 74, 80-81, 2013
62013
Statistical learning approaches for global optimization
E Contal
Université Paris Saclay (COmUE), 2016
52016
A machine learning approach to the analysis of wave energy converters
D Sarkar, E Contal, N Vayatis, F Dias
International Conference on Offshore Mechanics and Arctic Engineering 56574 …, 2015
42015
Gaussian processes for computer experiments
F Bachoc, E Contal, H Maatouk, D Rullière
ESAIM: Proceedings and Surveys 60, 163-179, 2017
12017
RAGSys: Item-Cold-Start Recommender as RAG System
E Contal, G McGoldrick
arXiv preprint arXiv:2405.17587, 2024
2024
Can small islands protect nearby coasts from
TS Stefanakis, E Contal, N Vayatis, F Dias, CE Synolakis
New methods for sensitivity analysis and uncertainty quantification of tsunamis
F Dias, S Guillas, N Vayatis, A Sarri, TS Stefanakis, E Contal, ...
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