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françois Portier
françois Portier
ENSAI
Adresse e-mail validée de ensai.fr - Page d'accueil
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Année
Integral approximation by kernel smoothing
B Delyon, F Portier
462016
Asymptotic optimality of adaptive importance sampling
F Portier, B Delyon
Advances in neural information processing systems 31, 2018
44*2018
On the weak convergence of the empirical conditional copula under a simplifying assumption
F Portier, J Segers
Journal of Multivariate Analysis 166, 160-181, 2018
412018
Monte Carlo integration with a growing number of control variates
F Portier, J Segers
Journal of Applied Probability 56 (4), 1168-1186, 2019
322019
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
K Daudel, R Douc, F Portier
The Annals of Statistics 49 (4), 2250-2270, 2021
242021
Bootstrap testing of the rank of a matrix via least-squared constrained estimation
F Portier, B Delyon
Journal of the American Statistical Association 109 (505), 160-172, 2014
202014
Control variate selection for Monte Carlo integration
R Leluc, F Portier, J Segers
Statistics and Computing 31 (4), 50, 2021
192021
Safe adaptive importance sampling: A mixture approach
B Delyon, F Portier
192021
Asymptotic analysis of conditioned stochastic gradient descent
R Leluc, F Portier
Transactions on Machine Learning Research, 2023
18*2023
Efficiency and bootstrap in the promotion time cure model
F Portier, A El Ghouch, I Van Keilegom
182017
Optimal transformation: A new approach for covering the central subspace
F Portier, B Delyon
Journal of Multivariate Analysis 115, 84-107, 2013
162013
Learning methods for RSSI-based geolocation: A comparative study
K Elgui, P Bianchi, F Portier, O Isson
Pervasive and Mobile Computing 67, 101199, 2020
152020
Empirical risk minimization under random censorship
G Ausset, S Clémençon, F Portier
Journal of Machine Learning Research 23 (5), 1-59, 2022
14*2022
Tail Inverse Regression: dimension reduction for prediction of extremes
A Aghbalou, F Portier, A Sabourin, C Zhou
Bernoulli 30 (1), 503-533, 2024
132024
Adaptive importance sampling meets mirror descent: a bias-variance tradeoff
A Korba, F Portier
International Conference on Artificial Intelligence and Statistics, 11503-11527, 2022
132022
Rademacher complexity for Markov chains: Applications to kernel smoothing and Metropolis–Hastings
P Bertail, F Portier
112019
Nearest neighbor empirical processes
F Portier
Bernoulli 31 (1), 312-332, 2025
10*2025
Speeding up Monte Carlo integration: Control neighbors for optimal convergence
R Leluc, F Portier, J Segers, A Zhuman
arXiv preprint arXiv:2305.06151, 2023
102023
Sgd with coordinate sampling: Theory and practice
R Leluc, F Portier
Journal of Machine Learning Research 23 (342), 1-47, 2022
92022
Risk bounds when learning infinitely many response functions by ordinary linear regression
V Plassier, F Portier, J Segers
Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 59 (1 …, 2023
82023
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