128 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Toulouse School of EconomicsFR17 papers
- Université de ToulouseFR11 papers
- Institut de Recherche en Informatique de ToulouseFR9 papers
- Université Toulouse III - Paul SabatierFR8 papers
- Université Toulouse-I-CapitoleFR7 papers
- Institut Polytechnique de BordeauxFR5 papers
- Université Toulouse - Jean JaurèsFR5 papers
- Institut de Mathématiques de ToulouseFR4 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR4 papers
- Université Toulouse CapitoleFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Technology Solutions Experts (United States)US3 papers
21 papers
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems
Jérôme Bolte, Edouard Pauwels, Antonio Silveti-Falls
We leverage path differentiability and a recent result on nonsmooth implicit differentiation calculus to give sufficient conditions ensuring that the solution to a monotone inclusi…
Understanding Political Divisiveness using Online Participation data from the 2022 French and Brazilian Presidential Elections
Carlos Navarrete, Mariana Macedo, Rachael Colley +8
Digital technologies can augment civic participation by facilitating the expression of detailed political preferences. Yet, digital participation efforts often rely on methods opti…
The Role of Immigrants, Emigrants, and Locals in the Historical Formation of European Knowledge Agglomerations
Philipp Koch, Viktor Stojkoski, César A. Hidalgo
Did migrants make Paris a Mecca for the arts and Vienna a beacon of classical music? Or was their rise a pure consequence of local actors? Here, we use data on more than 22,000 his…
Multidimensional Economic Complexity and Inclusive Green Growth
Viktor Stojkoski, Philipp Koch, César A. Hidalgo
To achieve inclusive green growth, countries need to consider a multiplicity of economic, social, and environmental factors. These are often captured by metrics of economic complex…
Automatic differentiation of nonsmooth iterative algorithms
Jérôme Bolte, Edouard Pauwels, Samuel Vaiter
Differentiation along algorithms, i.e., piggyback propagation of derivatives, is now routinely used to differentiate iterative solvers in differentiable programming. Asymptotics is…
Encompassing Tests for Nonparametric Regressions
Elia Lapenta, Pascal Lavergne
We set up a formal framework to characterize encompassing of nonparametric models through the L2 distance. We contrast it to previous literature on the comparison of nonparametric…
Information Design in Smooth Games
Alex Smolin, Takuro Yamashita
We study information design in games where players choose from a continuum of actions and have continuously differentiable payoffs. We show that an information structure is optimal…
Numerical influence of ReLU'(0) on backpropagation
David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz +1
In theory, the choice of ReLU(0) in [0, 1] for a neural network has a negligible influence both on backpropagation and training. Yet, in the real world, 32 bits default precision c…
Second-order step-size tuning of SGD for non-convex optimization
Camille Castera, Jérôme Bolte, Cédric Févotte +1
In view of a direct and simple improvement of vanilla SGD, this paper presents a fine-tuning of its step-sizes in the mini-batch case. For doing so, one estimates curvature, based…
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
François Bachoc, Tommaso R Cesari, Sébastien Gerchinovitz
We study the problem of zeroth-order (black-box) optimization of a Lipschitz function defined on a compact subset of , with the additional constraint…
The sample complexity of level set approximation
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
We study the problem of approximating the level set of an unknown function by sequentially querying its values. We introduce a family of algorithms called Bisect and Approximate th…
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
Jérôme Bolte, Edouard Pauwels
Modern problems in AI or in numerical analysis require nonsmooth approaches with a flexible calculus. We introduce generalized derivatives called conservative fields for which we d…
ROI Maximization in Stochastic Online Decision-Making
Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour +1
We introduce a novel theoretical framework for Return On Investment (ROI) maximization in repeated decision-making. Our setting is motivated by the use case of companies that regul…
Search for an Immobile Hider on a Stochastic Network
Tristan Garrec, Marco Scarsini
Harry hides on an edge of a graph and does not move from there. Sally, starting from a known origin, tries to find him as soon as she can. Harry's goal is to be found as late as po…
Cooperative Online Learning: Keeping your Neighbors Updated
Nicolò Cesa-Bianchi, Tommaso R. Cesari, Claire Monteleoni
We study an asynchronous online learning setting with a network of agents. At each time step, some of the agents are activated, requested to make a prediction, and pay the correspo…
Characterization of minimizable Lagrangian action functionals and a dual Mather theorem
Rodolfo Rios-Zertuche
We show that a necessary and sufficient condition for a smooth function on the tangent bundle of a manifold to be a Lagrangian density whose action can be minimized is, roughly spe…
The multiproximal linearization method for convex composite problems
Jérôme Bolte, Zheng Chen, Edouard Pauwels
Composite minimization involves a collection of smooth functions which are aggregated in a nonsmooth manner. In the convex setting, we design an algorithm by linearizing each smoot…
Communicating Zero-Sum Product Stochastic Games
Tristan Garrec
We study two classes of zero-sum stochastic games with compact action sets and a finite product state space. These two classes assume a communication property on the state spaces o…
Continuous Patrolling and Hiding Games
Tristan Garrec
We present two zero-sum games modeling situations where one player attacks (or hides in) a finite dimensional nonempty compact set, and the other tries to prevent the attack (or fi…
On damped second-order gradient systems
Mohamed Ali Jendoubi, Pascal Bégout, Jérôme Bolte +1
Using small deformations of the total energy, as introduced in [31], we establish that damped second order gradient systems ma…
High-dimensional instrumental variables regression and confidence sets
Eric Gautier, Christiern Rose
This article considers inference in linear instrumental variables models with many regressors, all of which could be endogenous. We propose the STIV estimator. Identification robus…