research
∙
06/13/2023
Online Matching in Geometric Random Graphs
In online advertisement, ad campaigns are sequentially displayed to user...
share
research
∙
12/15/2022
Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model
Recent developments of advanced driver-assistance systems necessitate an...
research
∙
10/22/2020
Optimal Change-Point Detection and Localization
Given a times series Y in ℝ^n, with a piece-wise contant mean and indepe...
research
∙
03/12/2020
Benign overfitting in the large deviation regime
We investigate the benign overfitting phenomenon in the large deviation ...
research
∙
09/11/2019
Aggregated Hold-Out
Aggregated hold-out (Agghoo) is a method which averages learning rules s...
research
∙
08/28/2019
Lecture Notes: Selected topics on robust statistical learning theory
These notes gather recent results on robust statistical learning theory....
research
∙
07/05/2019
A quantitative Mc Diarmid's inequality for geometrically ergodic Markov chains
We state and prove a quantitative version of the bounded difference ineq...
research
∙
05/17/2019
Pair Matching: When bandits meet stochastic block model
The pair-matching problem appears in many applications where one wants t...
research
∙
05/10/2019
Robust high dimensional learning for Lipschitz and convex losses
We establish risk bounds for Regularized Empirical Risk Minimizers (RERM...
research
∙
12/06/2018
Median of means principle as a divide-and-conquer procedure for robustness, sub-sampling and hyper-parameters tuning
Many learning methods have poor risk estimates with large probability un...
research
∙
08/24/2018
A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment
This paper deals with the estimation of the unknown distribution of hidd...
research
∙
08/09/2018
Robust classification via MOM minimization
We present an extension of Vapnik's classical empirical risk minimizer (...
research
∙
06/15/2018
Density estimation for RWRE
We consider the problem of non-parametric density estimation of a random...
research
∙
02/13/2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
Mean embeddings provide an extremely flexible and powerful tool in machi...
research
∙
11/28/2017