most citedA PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ML2022

Measuring dissimilarity with diffeomorphism invariance

Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj +1

Measures of similarity (or dissimilarity) are a key ingredient to many machine learning algorithms. We introduce DID, a pairwise dissimilarity measure applicable to a wide range of…

cs.LG2020★ 1 cited

A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings

Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz +1

Many practical machine learning tasks can be framed as Structured prediction problems, where several output variables are predicted and considered interdependent. Recent theoretica…