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Articles by Gilles Blanchard

False discovery proportion envelopes with m-consistency
17 September 2024 by Iqraa Meah and others
Statistics Theory, Methodology
Mechanical stress combines with planar polarised patterning during metaphase to orient embryonic epithelial cell divisions
19 April 2024 by Guillaume Blanchard and others at LogoUniversity of Cambridge
Biophysics
Supervised Contamination Detection, with Flow Cytometry Application
9 April 2024 by Solenne Gaucher and others
Methodology
FDR control and FDP bounds for conformal link prediction
3 April 2024 by Gilles Blanchard and others
Statistics Theory
Estimation of multiple mean vectors in high dimension
22 March 2024 by Gilles Blanchard and others
Machine Learning
Transductive conformal inference with adaptive scores
19 March 2024 by Ulysse Gazin and others
Methodology, Machine Learning
Covariance Adaptive Best Arm Identification
20 December 2023 by El Mehdi Saad and others
Machine Learning
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
2 July 2023 by Bastien Dussap and others
Machine Learning, Artificial Intelligence
Moment inequalities for sums of weakly dependent random fields
28 June 2023 by Gilles Blanchard and others
Probability, Statistics Theory
Statistical learning on measures: an application to persistence diagrams
31 May 2023 by Olympio Hacquard and others
Computational Geometry, Statistics Theory
Constant regret for sequence prediction with limited advice
5 October 2022 by El Mehdi Saad and Guillaume Blanchard
Statistics Theory, Machine Learning
Topologically penalized regression on manifolds
10 June 2022 by Olympio Hacquard and others at LogoUC Davis
Machine Learning, Statistics Theory
Constraints on the structure and seasonal variations of Triton's atmosphere from the 5 October 2017 stellar occultation and previous observations
25 January 2022 by J. Marques Oliveira and others
Earth and Planetary Astrophysics
Fast rates for prediction with limited expert advice
27 October 2021 by El Mehdi Saad and Gilles Blanchard
Statistics Theory, Machine Learning
Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure
8 October 2021 by Gilles Blanchard and Jean-Baptiste Fermanian
Machine Learning, Artificial Intelligence
Error rate control for classification rules in multiclass mixture models
29 September 2021 by Tristan Mary-Huard and others
Machine Learning, Statistics Theory
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
17 June 2021 by Rémi Gribonval and others
Machine Learning, Information Theory
Post hoc false discovery proportion inference under a Hidden Markov Model
1 May 2021 by Marie Perrot-Dockès and others
Methodology
Online Orthogonal Matching Pursuit
10 February 2021 by El Mehdi Saad and others
Machine Learning
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
13 November 2020 by Hannah Marienwald and others
Machine Learning, Artificial Intelligence
Daily viral kinetics and innate and adaptive immune responses assessment in COVID-19: a case series
10 November 2020 by P. Vetter and others
Infectious Diseases
Domain Generalization by Marginal Transfer Learning
17 April 2020 by Gilles Blanchard and others
Machine Learning
Volume Doubling Condition and a Local Poincaré Inequality on Unweighted Random Geometric Graphs
23 March 2020 by Franziska Göbel and Gilles Blanchard
Probability, Machine Learning
On agnostic post hoc approaches to false positive control
25 October 2019 by Gilles Blanchard and others at LogoIMT
Statistics Theory, Methodology
Efficient Regularized Piecewise-Linear Regression Trees
29 June 2019 by Leonidas Lefakis and others
Machine Learning
Restless dependent bandits with fading memory
25 June 2019 by Oleksandr Zadorozhnyi and others
Machine Learning
Lepskii Principle in Supervised Learning
26 May 2019 by Gilles Blanchard and others
Statistics Theory
Decontamination of Mutual Contamination Models
11 April 2019 by Julian Katz-Samuels and others
Machine Learning
Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems
1 March 2019 by Abhishake Rastogi and others
Statistics Theory, Machine Learning
Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods
9 December 2018 by Gilles Blanchard and Oleksandr Zadorozhnyi
Machine Learning, Statistics Theory
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