François Portier

J. Multivar. Anal., 2023

Scalable and hyper-parameter-free non-parametric covariate shift adaptation with conditional sampling.

[BibT_eX]

[DOI]

Lionel Truquet

Ikko Yamane

CoRR, 2023

Sharp error bounds for imbalanced classification: how many examples in the minority class?

[BibT_eX]

[DOI]

Anass Aghbalou

Anne Sabourin

CoRR, 2023

Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence.

[BibT_eX]

[DOI]

CoRR, 2023

On the bias of K-fold cross validation with stable learners.

[BibT_eX]

[DOI]

Anass Aghbalou

Anne Sabourin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

SGD with Coordinate Sampling: Theory and Practice.

[BibT_eX]

[DOI]

Rémi Leluc

J. Mach. Learn. Res., 2022

Empirical Risk Minimization under Random Censorship.

[BibT_eX]

[DOI]

Guillaume Ausset

J. Mach. Learn. Res., 2022

A Quadrature Rule combining Control Variates and Adaptive Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff.

[BibT_eX]

[DOI]

Anna Korba

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Control variate selection for Monte Carlo integration.

[BibT_eX]

[DOI]

Rémi Leluc

Mohammed Lamine Bouchouia

Stat. Comput., 2021

High dimensional regression for regenerative time-series: An application to road traffic modeling.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2021

Individual Survival Curves with Conditional Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications.

[BibT_eX]

[DOI]

Guillaume Ausset

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning methods for RSSI-based geolocation: A comparative study.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2020

Risk bounds when learning infinitely many response functions by ordinary linear regression.

[BibT_eX]

[DOI]

Vincent Plassier

CoRR, 2020

Towards Asymptotic Optimality with Conditioned Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Rémi Leluc

CoRR, 2020

Metric Learning for Fingerprint RSSI-Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

2019

Monte Carlo integration with a growing number of control variates.

[BibT_eX]

[DOI]

J. Appl. Probab., 2019

Empirical Risk Minimization under Random Censorship: Theory and Practice.

[BibT_eX]

[DOI]

Guillaume Ausset

CoRR, 2019

2018

On the weak convergence of the empirical conditional copula under a simplifying assumption.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2018

Asymptotic optimality of adaptive importance sampling.

[BibT_eX]

[DOI]

Bernard Delyon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2013

Optimal transformation: A new approach for covering the central subspace.

[BibT_eX]

[DOI]