A. Mazoyer

activity

20192024

collaborators

3 papers

math.ST2024

Adaptive inference with random ellipsoids through Conformal Conditional Linear Expectation

Iain Henderson, Adrien Mazoyer, Fabrice Gamboa

We propose two new conformity scores for conformal prediction, in a general multivariate regression framework. The underlying score functions are based on a covariance analysis of…

stat.CO2020

Monte Carlo integration of non-differentiable functions on $[0, 1]^{ι}$ , $ι = 1, \dots, d$ , using a single determinantal point pattern defined on $[0, 1]^{d}$

Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard

This paper concerns the use of a particular class of determinantal point processes (DPP), a class of repulsive spatial point processes, for Monte Carlo integration. Let $d \geq 1$ , $…

math.PR2019

Projections of determinantal point processes

Adrien Mazoyer, Jean-François Coeurjolly, Pierre-Olivier Amblard

Let $x = {x^{(1)}, \dots, x^{(n)}}$ be a space filling-design of $n$ points defined in $[0, 1]^{d}$ . In computer experiments, an important property seeked for $x$ is a…

Adaptive inference with random ellipsoids through Conformal Conditional Linear Expectation

Monte Carlo integration of non-differentiable functions on [0,1]ι, ι=1,…,d, using a single determinantal point pattern defined on [0,1]d

Projections of determinantal point processes

Monte Carlo integration of non-differentiable functions on $[0, 1]^{ι}$ , $ι = 1, \dots, d$ , using a single determinantal point pattern defined on $[0, 1]^{d}$