El Houcine Bergou

CoRR, 2024

Joint Probability Selection and Power Allocation for Federated Learning.

[BibT_eX]

[DOI]

Ouiame Marnissi

CoRR, 2024

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Demystifying the Myths and Legends of Nonconvex Convergence of SGD.

[BibT_eX]

[DOI]

CoRR, 2023

A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks.

[BibT_eX]

[DOI]

Mouhamed Naby Ndiaye

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks.

[BibT_eX]

[DOI]

Mouhamed Naby Ndiaye

Proceedings of the IEEE International Conference on Communications, 2023

2022

A Subsampling Line-Search Method with Second-Order Results.

[BibT_eX]

[DOI]

Vladimir Kunc

INFORMS J. Optim., October, 2022

A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2022

Direct nonlinear acceleration.

[BibT_eX]

[DOI]

EURO J. Comput. Optim., 2022

Linear Scalarization for Byzantine-robust learning on non-IID data.

[BibT_eX]

[DOI]

Latifa Errami

CoRR, 2022

Personalized Federated Learning with Communication Compression.

[BibT_eX]

[DOI]

Konstantin Burlachenko

Aritra Dutta

Peter Richtárik

CoRR, 2022

Age-of-Updates Optimization for UAV-assisted Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

2021

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2021

Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure.

[BibT_eX]

[DOI]

Optim. Lett., 2021

Client Selection in Federated Learning based on Gradients Importance.

[BibT_eX]

[DOI]

Ouiame Marnissi

Konstantinos Karatsenidis

CoRR, 2021

GRACE: A Compressed Communication Framework for Distributed Machine Learning.

[BibT_eX]

[DOI]

Marco Canini

Panos Kalnis

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Outsmarting the Atmospheric Turbulence for Ground-Based Telescopes Using the Stochastic Levenberg-Marquardt Method.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

Stochastic Three Points Method for Unconstrained Smooth Minimization.

[BibT_eX]

[DOI]

Eduard Gorbunov

Peter Richtárik

SIAM J. Optim., 2020

Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2020

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2020

A Stochastic Derivative Free Optimization Method with Momentum.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2018

2017

On the use of the energy norm in trust-region and adaptive cubic regularization subproblems.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2017

2016

Levenberg-Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation.

[BibT_eX]

[DOI]

Luís Nunes Vicente

SIAM/ASA J. Uncertain. Quantification, 2016

2014

The Exact Condition Number of the Truncated Singular Value Solution of a Linear Ill-Posed Problem.

[BibT_eX]

[DOI]