Emanuele Frandi

Fast and scalable Lasso via stochastic Frank–Wolfe methods with a convergence guarantee

Johan A. K. Suykens, Claudio Sartori, Stefano Lodi, 2015, Machine Learning.

A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training

Claudio Sartori, Héctor Allende, Ricardo Ñanculef, 2013, Inf. Sci..

A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification

Johan A. K. Suykens, Ricardo Ñanculef, Emanuele Frandi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Improving Direct Search algorithms by multilevel optimization techniques

Emanuele Frandi, Alessandra Papini, A. Papini, 2015, Optim. Methods Softw..

Training Support Vector Machines using Frank-Wolfe Optimization Methods pdf

Claudio Sartori, Stefano Lodi, Ricardo Ñanculef, 2012, Int. J. Pattern Recognit. Artif. Intell..

Novel Frank-Wolfe Methods for SVM Learning pdf

Claudio Sartori, Héctor Allende, Ricardo Ñanculef, 2013, ArXiv.

A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls

Claudio Sartori, Stefano Lodi, Ricardo Ñanculef, 2010, CIARP.

Coordinate search algorithms in multilevel optimization

Emanuele Frandi, Alessandra Papini, 2014, Optim. Methods Softw..

Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso

Johan A. K. Suykens, Ricardo Ñanculef, Emanuele Frandi, 2016, CIARP.

High level high performance computing for multitask learning of time-varying models

Johan A. K. Suykens, Marco Signoretto, Emanuele Frandi, 2014, 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD).

Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning pdf

Johan A. K. Suykens, Ricardo Ñanculef, Emanuele Frandi, 2014, NIPS 2014.