37 citations · 63 across the 4 of their papers we have counts for
4 papers
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier, Vincent Cottet, Guillaume Lecué
We obtain estimation error rates and sharp oracle inequalities for regularization procedures of the form \begin{equation*} \hat f \in argmin_{f\in F}\left(\frac{1}{N}\sum_{i=1}^N\e…
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation
Vincent Cottet, Pierre Alquier
Due to challenging applications such as collaborative filtering, the matrix completion problem has been widely studied in the past few years. Different approaches rely on different…
Divide and conquer in ABC: Expectation-Progagation algorithms for likelihood-free inference
Simon Barthelmé, Nicolas Chopin, Vincent Cottet
ABC algorithms are notoriously expensive in computing time, as they require simulating many complete artificial datasets from the model. We advocate in this paper a "divide and con…
Bayesian matrix completion: prior specification
Pierre Alquier, Vincent Cottet, Nicolas Chopin +1
Low-rank matrix estimation from incomplete measurements recently received increased attention due to the emergence of several challenging applications, such as recommender systems;…