246 citations · 492 across the 24 of their papers we have counts for
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stat.ML2016
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach
Anil Goyal, Emilie Morvant, Pascal Germain +1
We study a two-level multiview learning with more than two views under the PAC-Bayesian framework. This approach, sometimes referred as late fusion, consists in learning sequential…
stat.ML2016★ 13 cited
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain, Francis Bach, Alexandre Lacoste +1
We exhibit a strong link between frequentist PAC-Bayesian risk bounds and the Bayesian marginal likelihood. That is, for the negative log-likelihood loss function, we show that the…