4 citations · 12 across the 9 of their papers we have counts for
10 papers
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier +2
The Sliced-Wasserstein (SW) distance between probability measures is defined as the average of the Wasserstein distances resulting for the associated one-dimensional projections. A…
Compression with Exact Error Distribution for Federated Learning
Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li +1
Compression schemes have been extensively used in Federated Learning (FL) to reduce the communication cost of distributed learning. While most approaches rely on a bounded variance…
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Rémi Leluc, Elie Kadoche, Antoine Bertoncello +1
Maintaining a balance between the supply and demand of products by optimizing replenishment decisions is one of the most important challenges in the supply chain industry. This pap…
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Rémi Leluc, François Portier, Johan Segers +1
A novel linear integration rule called is proposed in which nearest neighbor estimates act as control variates to speed up the convergence rate of the…
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai, Elie Kadoche, Rémi Leluc +1
The raise of machine learning and deep learning led to significant improvement in several domains. This change is supported by both the dramatic rise in computation power and the c…
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc, François Portier, Johan Segers +1
Driven by several successful applications such as in stochastic gradient descent or in Bayesian computation, control variates have become a major tool for Monte Carlo integration.…
SGD with Coordinate Sampling: Theory and Practice
Rémi Leluc, François Portier
While classical forms of stochastic gradient descent algorithm treat the different coordinates in the same way, a framework allowing for adaptive (non uniform) coordinate sampling…
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai, Rémi Leluc
Understanding the complex structure of multivariate extremes is a major challenge in various fields from portfolio monitoring and environmental risk management to insurance. In the…
Asymptotic Analysis of Conditioned Stochastic Gradient Descent
Rémi Leluc, François Portier
In this paper, we investigate a general class of stochastic gradient descent (SGD) algorithms, called Conditioned SGD, based on a preconditioning of the gradient direction. Using a…
Control variate selection for Monte Carlo integration
Rémi Leluc, François Portier, Johan Segers
Monte Carlo integration with variance reduction by means of control variates can be implemented by the ordinary least squares estimator for the intercept in a multiple linear regre…