1.7k citations · 7.2k across the 408 of their papers we have counts for
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Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
Fares Fourati, Vaneet Aggarwal, Christopher John Quinn +1
We investigate the problem of unconstrained combinatorial multi-armed bandits with full-bandit feedback and stochastic rewards for submodular maximization. Previous works investiga…
FilFL: Client Filtering for Optimized Client Participation in Federated Learning
Fares Fourati, Salma Kharrat, Vaneet Aggarwal +2
Federated learning, an emerging machine learning paradigm, enables clients to collaboratively train a model without exchanging local data. Clients participating in the training pro…
A Precise Performance Analysis of Support Vector Regression
Houssem Sifaou, Abla kammoun, Mohamed-Slim Alouini
In this paper, we study the hard and soft support vector regression techniques applied to a set of linear measurements of the form wh…
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini +1
The recent many-fold increase in the size of deep neural networks makes efficient distributed training challenging. Many proposals exploit the compressibility of the gradients and…
High-Dimensional Quadratic Discriminant Analysis under Spiked Covariance Model
Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini
Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covarianc…