70 citations · 198 across the 23 of their papers we have counts for
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stat.ML2012★ 20 cited
PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification
Emilie Morvant, Sokol Koço, Liva Ralaivola
In this work, we propose a PAC-Bayes bound for the generalization risk of the Gibbs classifier in the multi-class classification framework. The novelty of our work is the critical…
cs.LG2012★ 22 cited
Confusion Matrix Stability Bounds for Multiclass Classification
Pierre Machart, Liva Ralaivola
In this paper, we provide new theoretical results on the generalization properties of learning algorithms for multiclass classification problems. The originality of our work is tha…
cs.LG2012★ 7 cited
Stochastic Low-Rank Kernel Learning for Regression
Pierre Machart, Thomas Peel, Liva Ralaivola +2
We present a novel approach to learn a kernel-based regression function. It is based on the useof conical combinations of data-based parameterized kernels and on a new stochastic c…