
White Paper Machine Learning in Certified Systems
Machine Learning (ML) seems to be one of the most promising solution to ...
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The Sample Complexities of Global Lipschitz Optimization
We study the problem of blackbox optimization of a Lipschitz function f...
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The sample complexity of level set approximation
We study the problem of approximating the level set of an unknown functi...
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DiversityPreserving KArmed Bandits, Revisited
We consider the banditbased framework for diversitypreserving recommen...
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Regret analysis of the PiyavskiiShubert algorithm for global Lipschitz optimization
We consider the problem of maximizing a nonconcave Lipschitz multivaria...
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Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Over the last decade, digital media (web or app publishers) generalized ...
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Uniform regret bounds over R^d for the sequential linear regression problem with the square loss
We consider the setting of online linear regression for arbitrary determ...
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Optimal functional supervised classification with separation condition
We consider the binary supervised classification problem with the Gaussi...
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Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning
We investigate contextual online learning with nonparametric (Lipschitz)...
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Refined Lower Bounds for Adversarial Bandits
We provide new lower bounds on the regret that must be suffered by adver...
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A Chaining Algorithm for Online Nonparametric Regression
We consider the problem of online nonparametric regression with arbitrar...
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Adaptive and Optimal Online Linear Regression on L1balls
We consider the problem of online linear regression on individual sequen...
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Sparsity regret bounds for individual sequences in online linear regression
We consider the problem of online linear regression on arbitrary determi...
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Sébastien Gerchinovitz
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