A learning-based mathematical programming formulation for the automatic configuration of optimization solvers. https://t.co/tlb5I7JF01
Machine Learning, Optimization, and Data Science
Springer International Publishing
A learning-based mathematical programming formulation for the automatic configuration of optimization solvers. https://t.co/tlb5I7JF01
Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti: A learning-based mathematical programming formulation for the automatic configuration of optimization solvers https://t.co/Zvs21GzMHV https://t.co/OtaMMoztMU
Open Access UCL Research: Revisiting clustering as matrix factorisation on the Stiefel manifold - UCL Discovery https://t.co/vTb4VIgmC1
New #UPCommons #Eprints "Privacy preserving deep learning framework in fog computing" https://t.co/jUHmTiCoeO