| 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 | 221 | 2013 |
| 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 | 115 | 2012 |
| Gaussian Process Optimization with Mutual Information E Contal, V Perchet, N Vayatis Proceedings of The 31st International Conference on Machine Learning, 253-261, 2014 | 112 | 2014 |
| 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 | 87 | 2016 |
| 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 | 52 | 2014 |
| Preprocessing the Nintendo Wii board signal to derive more accurate descriptors of statokinesigrams J Audiffren, E Contal Sensors 16 (8), 1208, 2016 | 38 | 2016 |
| 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 | 33* | 2014 |
| A ranking approach to global optimization C Malherbe, E Contal, N Vayatis International Conference on Machine Learning, 1539-1547, 2016 | 14 | 2016 |
| Optimization for gaussian processes via chaining E Contal, C Malherbe, N Vayatis arXiv preprint arXiv:1510.05576, 2015 | 10 | 2015 |
| Stochastic process bandits: Upper confidence bounds algorithms via generic chaining E Contal, N Vayatis arXiv preprint arXiv:1602.04976, 2016 | 8 | 2016 |
| 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 | 6 | 2013 |
| Parallel Gaussian Process optimization with pure exploration E Contal, D Buffoni, A Robicquet, N Vayatis Proceedings of ICML (pending approval) 74, 80-81, 2013 | 6 | 2013 |
| Statistical learning approaches for global optimization E Contal Université Paris Saclay (COmUE), 2016 | 5 | 2016 |
| 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 | 4 | 2015 |
| Gaussian processes for computer experiments F Bachoc, E Contal, H Maatouk, D Rullière ESAIM: Proceedings and Surveys 60, 163-179, 2017 | | 2017 |
| 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, ... | | |
