120 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- CY Cergy Paris UniversitéFR30 papers
- ESSEC Business SchoolSG11 papers
- Centre de Recherche en Économie et StatistiqueFR10 papers
- Johannes Kepler University of LinzAT4 papers
- Sorbonne UniversitéFR4 papers
- Université Paris CitéFR4 papers
- Centre for Research in Engineering Surface TechnologyIE3 papers
- Mathématiques Appliquées à Paris 5FR3 papers
- Center for Responsible TravelUS2 papers
- Decision Sciences (United States)US2 papers
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR2 papers
- ENSAE ParisFR2 papers
9 papers · 1 filter
On importance sampling and independent Metropolis-Hastings with an unbounded weight function
George Deligiannidis, Pierre E. Jacob, El Mahdi Khribch +1
Importance sampling and independent Metropolis-Hastings are among the fundamental building blocks of Monte Carlo methods. Both require a proposal distribution that globally approxi…
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
Pierre Alquier, William Kengne
In a groundbreaking work, Schmidt-Hieber (2020) proved the minimax optimality of deep neural networks with ReLu activation for least-square regression estimation over a large class…
Learning with Importance Weighted Variational Inference
Kamélia Daudel, François Roueff
Several variational bounds involving importance weighting ideas generalize the Evidence Lower BOund (ELBO) for marginal likelihood optimization, such as the Importance-weighted Aut…
The Multi-Commodity Flow Problem with Outsourcing Decisions
Elena Fernandez, Ivana Ljubic, Nicolas Zerega
We address a new prize-collecting problem of routing commodities in a given network with hub and non-hub nodes, in which the service of the non-hub nodes will be outsourced to thir…
Bilevel optimization with sustainability perspective: A survey on applications
Giulia Caselli, Manuel Iori, Ivana Ljubić
Bilevel optimization, a well-established field for modeling hierarchical decision-making problems, has recently intersected with sustainability studies and practices, resulting in…
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Otmane Sakhi, Imad Aouali, Pierre Alquier +1
This work investigates the offline formulation of the contextual bandit problem, where the goal is to leverage past interactions collected under a behavior policy to evaluate, sele…
Aircraft Conflict Resolution: A Benchmark Generator
Mercedes Pelegrin, Martina Cerulli
Aircraft conflict resolution is one of the major tasks of computer-aided air traffic management and represents a challenging optimization problem. Many models and methods have been…
One-Bit Total Variation Denoising over Networks with Applications to Partially Observed Epidemics
Claire Donnat, Olga Klopp, Nicolas Verzelen
This paper introduces a novel approach for epidemic nowcasting and forecasting over networks using total variation (TV) denoising, a method inspired by classical signal processing…
Generalized multi-view model: Adaptive density estimation under low-rank constraints
Julien Chhor, Olga Klopp, Alexandre Tsybakov
We study the problem of bivariate discrete or continuous probability density estimation under low-rank constraints.For discrete distributions, we assume that the two-dimensional ar…