Articles
2016
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Emile Contal: Statistical Learning Approaches for Global Optimization PhD |
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Emile Contal, Nicolas Vayatis: Stochastic Process Bandits: Upper Confidence Bounds Algorithms via Generic Chaining preprint |
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Julien Audiffren, Emile Contal: Preprocessing the Nintendo Wii Board Signal to derive more accurate descriptors of statokinesigrams Sensors |
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Dripta Sarkar, Emile Contal, Nicolas Vayatis, Frederic Dias: Prediction and Optimization of Wave Energy Converter Arrays using a Machine Learning Approach Renewable Energy 2016 |
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Cédric Malherbe, Emile Contal, Nicolas Vayatis: A Ranking Approach to Global Optimization ICML 2016 |
2015
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Emile Contal, Cédric Malherbe, Nicolas Vayatis: Optimization for Gaussian Processes via Chaining NIPS Workshop on Bayesian Optimization |
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Dripta Sarkar, Emile Contal, Nicolas Vayatis, Frederic Dias: A Machine Learning Approach to the Analysis of Wave Energy Converters OMAE 2015 |
2014
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Themistoklis Stefanakis, Emile Contal, Nicolas Vayatis, Frederic Dias, Costas Synolakis: Can small islands protect nearby coasts from tsunamis? An active experimental design approach Royal Society A 2014 |
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Emile Contal, Vianney Perchet, Nicolas Vayatis: Gaussian Process Optimization with Mutual Information. ICML 2014 - Erratum |
2013
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Emile Contal, David Buffoni, Alexandre Robicquet, Nicolas Vayatis: Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration. ECML 2013 |
2012
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Olivier Delalleau, Emile Contal, Eric Thibodeau-Laufer, Raul Chandias Ferrari, Yoshua Bengio, Frank Zhang: Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online. IEEE Transactions on Computational Intelligence and AI in Games 2012 |