Sébastien Gerchinovitz

Researcher, f, IRT Saint Exupéry

Joined

February 2019

Names

Sébastien Gerchinovitz (Preferred)

Emails

****@math.univ-toulouse.fr (Confirmed)

****@irt-saintexupery.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

f, IRT Saint Exupéry (irt-saintexupery.com)

2019 – Present

Assistant Professor

Université Toulouse III - Paul Sabatier (univ-toulouse.fr)

2012 – 2019

Advisors, Relations & Conflicts

Coauthor

Aurélien Garivier

2012 – Present

Coauthor

Nicolo Cesa-Bianchi

2014 – 2017

Coauthor

Tor Lattimore

2016 – 2016

PhD Advisor

Gilles Stoltz

2008 – 2011

Expertise

No areas of expertise listed

Publications

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
- ICML 2025 poster
- Readers: Everyone
Diversity-Preserving $K$--Armed Bandits, Revisited
Hedi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
- Accepted by TMLR
- Readers: Everyone
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks
El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, Francois Malgouyres
- Published: 31 Oct 2022, Last Modified: 03 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
Francois Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
Numerical influence of ReLU’(0) on backpropagation
David Bertoin, Jerome Bolte, Sébastien Gerchinovitz, Edouard Pauwels
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
- 2018 (modified: 16 Jul 2019)
- KDD 2018
- Readers: Everyone
Refined Lower Bounds for Adversarial Bandits
Sébastien Gerchinovitz, Tor Lattimore
- 2016 (modified: 11 Nov 2022)
- NIPS 2016
- Readers: Everyone

Sébastien Gerchinovitz

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks

Diversity-Preserving $K$--Armed Bandits, Revisited

A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks

Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates

Numerical influence of ReLU’(0) on backpropagation

Optimization of a SSP's Header Bidding Strategy using Thompson Sampling

Refined Lower Bounds for Adversarial Bandits

Co-Authors