Sébastien Gerchinovitz

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 30

Top Topics

Nonparametric Regression

Top Venues

Publications

Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
Diversity-Preserving K-Armed Bandits, Revisited. Trans. Mach. Learn. Res. 2024 (2024)
Étienne de Montbrun, Sébastien Gerchinovitz
Certified Multi-Fidelity Zeroth-Order Optimization. CoRR (2023)
Pierre Gaillard, Sébastien Gerchinovitz, Étienne de Montbrun
Adaptive approximation of monotone functions. CoRR (2023)
El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres
norm, with applications to feed-forward neural networks. CoRR (2022)
El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks. NeurIPS (2022)
Florence De Grancey, Jean-Luc Adam, Lucian Alecu, Sébastien Gerchinovitz, Franck Mamalet, David Vigouroux
Object Detection with Probabilistic Guarantees: A Conformal Prediction Approach. SAFECOMP Workshops (2022)
El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
The loss landscape of deep linear neural networks: a second-order analysis. CoRR (2021)
Oleksandr Zadorozhnyi, Pierre Gaillard, Sébastien Gerchinovitz, Alessandro Rudi
Online nonparametric regression with Sobolev kernels. CoRR (2021)
François Bachoc, Tommaso Renato Cesari, Sébastien Gerchinovitz
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. CoRR (2021)
David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
Numerical influence of ReLU'(0) on backpropagation. NeurIPS (2021)
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. NeurIPS (2021)
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
The Sample Complexity of Level Set Approximation. AISTATS (2021)
Hervé Delseny, Christophe Gabreau, Adrien Gauffriau, Bernard Beaudouin, Ludovic Ponsolle, Lucian Alecu, Hugues Bonnin, Brice Beltran, Didier Duchel, Jean-Brice Ginestet, Alexandre Hervieu, Ghilaine Martinez, Sylvain Pasquet, Kevin Delmas, Claire Pagetti, Jean-Marc Gabriel, Camille Chapdelaine, Sylvaine Picard, Mathieu Damour, Cyril Cappi, Laurent Gardès, Florence De Grancey, Eric Jenn, Baptiste Lefèvre, Grégory Flandin, Sébastien Gerchinovitz, Franck Mamalet, Alexandre Albore
White Paper Machine Learning in Certified Systems. CoRR (2021)
David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
Numerical influence of ReLU'(0) on backpropagation. CoRR (2021)
Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
Diversity-Preserving K-Armed Bandits, Revisited. CoRR (2020)
Clément Bouttier, Tommaso Cesari, Sébastien Gerchinovitz
Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization. CoRR (2020)
Melanie Ducoffe, Sébastien Gerchinovitz, Jayant Sen Gupta
A High Probability Safety Guarantee for Shifted Neural Network Surrogates. SafeAI@AAAI (2020)
Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
for the sequential linear regression problem with the square loss. ALT (2019)
Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. KDD (2018)
Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
for the sequential linear regression problem with the square loss. CoRR (2018)
Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. CoRR (2018)
Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
Online Nonparametric Learning, Chaining, and the Role of Partial Feedback. CoRR (2017)
Sébastien Gerchinovitz, Pierre Ménard, Gilles Stoltz
Fano's inequality for random variables. CoRR (2017)
Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning. COLT (2017)
Sébastien Gerchinovitz, Tor Lattimore
Refined Lower Bounds for Adversarial Bandits. CoRR (2016)
Sébastien Gerchinovitz, Tor Lattimore
Refined Lower Bounds for Adversarial Bandits. NIPS (2016)
Pierre Gaillard, Sébastien Gerchinovitz
A Chaining Algorithm for Online Nonparametric Regression. CoRR (2015)
Pierre Gaillard, Sébastien Gerchinovitz
A Chaining Algorithm for Online Nonparametric Regression. COLT (2015)
Clément Bouttier, Olivier Babando, Sébastien Gadat, Sébastien Gerchinovitz, Serge Laporte, Florence Nicol
Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization. OR (2015)
Jonathan Louëdec, Max Chevalier, Josiane Mothe, Aurélien Garivier, Sébastien Gerchinovitz
A Multiple-Play Bandit Algorithm Applied to Recommender Systems. FLAIRS Conference (2015)
Sébastien Gerchinovitz, Jia Yuan Yu
-balls. Theor. Comput. Sci. 519 (2014)
Sébastien Gerchinovitz
Sparsity regret bounds for individual sequences in online linear regression. J. Mach. Learn. Res. 14 (1) (2013)
Sébastien Gerchinovitz, Jia Yuan Yu
Adaptive and Optimal Online Linear Regression on ℓ1-Balls. ALT (2011)
Sébastien Gerchinovitz, Jia Yuan Yu
Adaptive and Optimal Online Linear Regression on L1-balls CoRR (2011)
Sébastien Gerchinovitz
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression. COLT (2011)
Sébastien Gerchinovitz
Sparsity regret bounds for individual sequences in online linear regression. CoRR (2011)