3 citations · 6 across the 10 of their papers we have counts for
12 papers
Non-Stationary Lipschitz Bandits
Nicolas Nguyen, Solenne Gaucher, Claire Vernade
We study the problem of non-stationary Lipschitz bandits, where the number of actions is infinite and the reward function, satisfying a Lipschitz assumption, can change arbitrarily…
Demographic parity in regression and classification within the unawareness framework
Vincent Divol, Solenne Gaucher
This paper explores the theoretical foundations of fair regression under the constraint of demographic parity within the unawareness framework, where disparate treatment is prohibi…
Improved Algorithms for Contextual Dynamic Pricing
Matilde Tullii, Solenne Gaucher, Nadav Merlis +1
In contextual dynamic pricing, a seller sequentially prices goods based on contextual information. Buyers will purchase products only if the prices are below their valuations. The…
Feature-Based Online Bilateral Trade
Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni +2
Bilateral trade models the problem of facilitating trades between a seller and a buyer having private valuations for the item being sold. In the online version of the problem, the…
Supervised Contamination Detection, with Flow Cytometry Application
Solenne Gaucher, Gilles Blanchard, Frédéric Chazal
The contamination detection problem aims to determine whether a set of observations has been contaminated, i.e. whether it contains points drawn from a distribution different from…
Fair learning with Wasserstein barycenters for non-decomposable performance measures
Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
This work provides several fundamental characterizations of the optimal classification function under the demographic parity constraint. In the awareness framework, akin to the cla…
The price of unfairness in linear bandits with biased feedback
Solenne Gaucher, Alexandra Carpentier, Christophe Giraud
In this paper, we study the problem of fair sequential decision making with biased linear bandit feedback. At each round, a player selects an action described by a covariate and by…
Optimality of variational inference for stochastic block model with missing links
Solenne Gaucher, Olga Klopp
Variational methods are extremely popular in the analysis of network data. Statistical guarantees obtained for these methods typically provide asymptotic normality for the problem…
Hierarchical transfer learning with applications for electricity load forecasting
Anestis Antoniadis, Solenne Gaucher, Yannig Goude
The recent abundance of data on electricity consumption at different scales opens new challenges and highlights the need for new techniques to leverage information present at finer…
Finite Continuum-Armed Bandits
Solenne Gaucher
We consider a situation where an agent has ressources to be allocated to a larger number of actions. Each action can be completed at most once and results in a stochastic r…
Outliers Detection in Networks with Missing Links
Solenne Gaucher, Olga Klopp, Geneviève Robin
Outliers arise in networks due to different reasons such as fraudulent behavior of malicious users or default in measurement instruments and can significantly impair network analys…
Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Solenne Gaucher, Olga Klopp
Estimating the matrix of connections probabilities is one of the key questions when studying sparse networks. In this work, we consider networks generated under the sparse graphon…