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02/13/2023
One-Shot Federated Conformal Prediction
In this paper, we introduce a conformal prediction method to construct p...
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05/29/2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Identifying the relevant variables for a classification model with corre...
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11/22/2020
Online Orthogonal Matching Pursuit
Greedy algorithms for feature selection are widely used for recovering s...
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02/21/2020
Aggregation of Multiple Knockoffs
We develop an extension of the Knockoff Inference procedure, introduced ...
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09/30/2019
Rejoinder on: Minimal penalties and the slope heuristics: a survey
This text is the rejoinder following the discussion of a survey paper ab...
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09/11/2019
Aggregated Hold-Out
Aggregated hold-out (Agghoo) is a method which averages learning rules s...
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01/22/2019
Minimal penalties and the slope heuristics: a survey
Birgé and Massart proposed in 2001 the slope heuristics as a way to choo...
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03/09/2017
Cross-validation
This text is a survey on cross-validation. We define all classical cross...
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04/06/2016
Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet
This paper is a comment on the survey paper by Biau and Scornet (2016) a...
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03/06/2013
Large-Margin Metric Learning for Partitioning Problems
In this paper, we consider unsupervised partitioning problems, such as c...
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09/10/2009
Data-driven calibration of linear estimators with minimal penalties
This paper tackles the problem of selecting among several linear estimat...
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04/18/2008
Margin-adaptive model selection in statistical learning
A classical condition for fast learning rates is the margin condition, f...
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02/05/2008