8 citations · 17 across the 6 of their papers we have counts for
6 papers
On Medians of (Randomized) Pairwise Means
Pierre Laforgue, Stephan Clémençon, Patrice Bertail
Tournament procedures, recently introduced in Lugosi & Mendelson (2016), offer an appealing alternative, from a theoretical perspective at least, to the principle of Empirical Risk…
Cross-validation on Extreme Regions
Anass Aghbalou, Patrice Bertail, François Portier +1
We conduct a non asymptotic study of the Cross Validation (CV) estimate of the generalization risk for learning algorithms dedicated to extreme regions of the covariates space. In…
Rademacher complexity for Markov chains : Applications to kernel smoothing and Metropolis-Hasting
Patrice Bertail, François Portier
Following the seminal approach by Talagrand, the concept of Rademacher complexity for independent sequences of random variables is extended to Markov chains. The proposed notion of…
Sharp exponential inequalities in survey sampling: conditional Poisson sampling schemes
Patrice Bertail, Stephan Clémençon
This paper is devoted to establishing exponential bounds for the probabilities of deviation of a sample sum from its expectation, when the variables involved in the summation are o…
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
Clémençon Stephan, Patrice Bertail, Guillaume Papa
The generalization ability of minimizers of the empirical risk in the context of binary classification has been investigated under a wide variety of complexity assumptions for the…
Practical targeted learning from large data sets by survey sampling
Patrice Bertail, Antoine Chambaz, Emilien Joly
We address the practical construction of asymptotic confidence intervals for smooth (i.e., path-wise differentiable), real-valued statistical parameters by targeted learning from i…