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Conference papers

On the almost optimality of blind active sampling.

Olivier Teytaud 1, 2 
2 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We show that blind active sampling is almost optimal in the case of large covering numbers in regression with finite precision. THIS IS A NON-COPYRIGHTED PUBLICATION IN A NATIONAL CONFERENCE.
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Submitted on : Friday, June 13, 2008 - 11:09:09 AM
Last modification on : Sunday, June 26, 2022 - 11:48:19 AM


  • HAL Id : inria-00287874, version 1



Olivier Teytaud. On the almost optimality of blind active sampling.. CAP 2008, May 2008, Porquerolles, France. ⟨inria-00287874⟩



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