Sébastien Gerchinovitz

41 papers A* 8A 1B 2Misc 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conformal Object Detection by Sequential Risk Control. CoRR Léo Andéol, Luca Mossina, Adrien Mazoyer, Sébastien Gerchinovitz
2025	A*	`conf`	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. ICML Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
2025	J	`jnl`	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. CoRR Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
2024	J	`jnl`	Certified Multifidelity Zeroth-Order Optimization. SIAM/ASA J. Uncertain. Quantification Étienne de Montbrun, Sébastien Gerchinovitz
2024	J	`jnl`	Diversity-Preserving K-Armed Bandits, Revisited. Trans. Mach. Learn. Res. Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
2024	J	`jnl`	The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis. J. Mach. Learn. Res. El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
2023	J	`jnl`	Adaptive approximation of monotone functions. CoRR Pierre Gaillard, Sébastien Gerchinovitz, Étienne de Montbrun
2023	J	`jnl`	Certified Multi-Fidelity Zeroth-Order Optimization. CoRR Étienne de Montbrun, Sébastien Gerchinovitz
2022	A*	`conf`	A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks. NeurIPS El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres
2022	J	`jnl`	A general approximation lower bound in L CoRR El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres
2022	—	`conf`	Object Detection with Probabilistic Guarantees: A Conformal Prediction Approach. SAFECOMP Workshops Florence de Grancey, Jean-Luc Adam, Lucian Alecu, Sébastien Gerchinovitz, Franck Mamalet, David Vigouroux
2021	A*	`conf`	Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. NeurIPS François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
2021	J	`jnl`	Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. CoRR François Bachoc, Tommaso Renato Cesari, Sébastien Gerchinovitz
2021	A*	`conf`	Numerical influence of ReLU'(0) on backpropagation. NeurIPS David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
2021	J	`jnl`	Numerical influence of ReLU'(0) on backpropagation. CoRR David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
2021	J	`jnl`	Online nonparametric regression with Sobolev kernels. CoRR Oleksandr Zadorozhnyi, Pierre Gaillard, Sébastien Gerchinovitz, Alessandro Rudi
2021	A	`conf`	The Sample Complexity of Level Set Approximation. AISTATS François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
2021	J	`jnl`	The loss landscape of deep linear neural networks: a second-order analysis. CoRR El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
2021	J	`jnl`	White Paper Machine Learning in Certified Systems. CoRR 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
2020	—	`conf`	A High Probability Safety Guarantee for Shifted Neural Network Surrogates. SafeAI@AAAI Melanie Ducoffe, Sébastien Gerchinovitz, Jayant Sen Gupta
2020	J	`jnl`	Diversity-Preserving K-Armed Bandits, Revisited. CoRR Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
2020	J	`jnl`	Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization. CoRR Clément Bouttier, Tommaso Cesari, Sébastien Gerchinovitz
2019	B	`conf`	Uniform regret bounds over R ALT Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
2018	A*	`conf`	Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. KDD Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
2018	J	`jnl`	Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. CoRR Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
2018	J	`jnl`	Uniform regret bounds over R CoRR Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
2017	A*	`conf`	Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning. COLT Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
2017	J	`jnl`	Fano's inequality for random variables. CoRR Sébastien Gerchinovitz, Pierre Ménard, Gilles Stoltz
2017	J	`jnl`	Online Nonparametric Learning, Chaining, and the Role of Partial Feedback. CoRR Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
2016	—	`conf`	Refined Lower Bounds for Adversarial Bandits. NIPS Sébastien Gerchinovitz, Tor Lattimore
2016	J	`jnl`	Refined Lower Bounds for Adversarial Bandits. CoRR Sébastien Gerchinovitz, Tor Lattimore
2015	A*	`conf`	A Chaining Algorithm for Online Nonparametric Regression. COLT Pierre Gaillard, Sébastien Gerchinovitz
2015	J	`jnl`	A Chaining Algorithm for Online Nonparametric Regression. CoRR Pierre Gaillard, Sébastien Gerchinovitz
2015	Misc	`conf`	A Multiple-Play Bandit Algorithm Applied to Recommender Systems. FLAIRS Jonathan Louëdec, Max Chevalier, Josiane Mothe, Aurélien Garivier, Sébastien Gerchinovitz
2015	—	`conf`	Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization. OR Clément Bouttier, Olivier Babando, Sébastien Gadat, Sébastien Gerchinovitz, Serge Laporte, Florence Nicol
2014	J	`jnl`	Adaptive and optimal online linear regression on l Theor. Comput. Sci. Sébastien Gerchinovitz, Jia Yuan Yu
2013	J	`jnl`	Sparsity regret bounds for individual sequences in online linear regression. J. Mach. Learn. Res. Sébastien Gerchinovitz
2011	J	`jnl`	Adaptive and Optimal Online Linear Regression on L1-balls CoRR Sébastien Gerchinovitz, Jia Yuan Yu
2011	B	`conf`	Adaptive and Optimal Online Linear Regression on ℓ1-Balls. ALT Sébastien Gerchinovitz, Jia Yuan Yu
2011	A*	`conf`	Sparsity Regret Bounds for Individual Sequences in Online Linear Regression. COLT Sébastien Gerchinovitz
2011	J	`jnl`	Sparsity regret bounds for individual sequences in online linear regression. CoRR Sébastien Gerchinovitz