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Leonardo Galli, H. Rauhut, M. Schmidt

Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models

arXiv

doi:10.48550/arXiv.2306.12747

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Leonardo Galli, G. Galvan, T. Levato, C. Liti, V. Piccialli, M. Sciandronw

Football: Discovering elapsing-time bias in the science of success

Chaos, Solitons & Fractals (2021).

doi:10.1016/j.chaos.2021.111370

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Leonardo Galli, C-J. Lin

A Study on Truncated Newton Methods for Linear Classification

IEEE Transaction on Neural Networks and Learning Systems (2021).

doi:10.1109/TNNLS.2020.3045836

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Leonardo Galli, T. Levato, F. Schoen, L. Tigli

Prescriptive Analytics for Inventory Management in Health Care

Journal of the Operational Research Society (2020) 1-14.

doi:10.1080/01605682.2020.1776167

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Leonardo Galli, Alessandro Galligari, M. Sciandrone

A unified convergence framework for nonmonotone inexact decomposition methods

Computational Optimization and Application (2020) 75: 113-144.

doi:10.1007/s10589-019-00150-5

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G. Ausiello, F. Ferre, Leonardo Galli, G. Galvan, M Helmer-Citterich, A. Palmieri, L. Parca, G. Pepe, M. Pietrosanto, M. Sciandrone

Modeling cancer drug response through drug-specific informative genes

Scientific Reports (2019) 9.

doi:10.1038/s41598-019-50720-0

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M. Cantu, G. Cocchi, Leonardo Galli, G. Galvan, M. Sciandrone, G. Tomaselli

Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in Italy

Wind Energy (2018) 5: 357-371.

doi:10.1002/we.2166

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Leonardo Galli, C. Kanzow, M. Sciandrone

A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties

Computational Optimization and Application (2018) 69: 629-652.

doi:10.1007/s10589-017-9960-3

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Leonardo Galli

Controlling the degree of nonmonotonicity: a new line search framework combining two nonmonotone techniques

Operations Research Letters