most citedOn Generalizing the C-Bound to the Multiclass and Multi-label Settings

3 citations · 3 across the 4 of their papers we have counts for

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cs.LG2014

Stationary Mixing Bandits

Julien Audiffren, Liva Ralaivola

We study the bandit problem where arms are associated with stationary phi-mixing processes and where rewards are therefore dependent: the question that arises from this setting is…

cs.LG2014

Unconfused Ultraconservative Multiclass Algorithms

Ugo Louche, Liva Ralaivola

We tackle the problem of learning linear classifiers from noisy datasets in a multiclass setting. The two-class version of this problem was studied a few years ago by, e.g. Bylande…