Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity

Arnak Dalalyan; Alexandre Tsybakov

doi:10.1007/s10994-008-5051-0

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arXiv · 0803.2839

Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity

Arnak Dalalyan·Alexandre Tsybakov

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Abstract

We study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp PAC-Bayesian risk bounds for aggregates defined via exponential weights, under general assumptions on the distribution of errors and on the functions to aggregate. We then apply these results to derive sparsity oracle inequalities.

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Arnak Dalalyan, Alexandre Tsybakov. 2013-03-22. Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. https://doi.org/10.1007/s10994-008-5051-0

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