Loris Cannelli

Orcid: 0000-0002-7161-6414

According to our database1, Loris Cannelli authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multi-Agent Active Learning for Distributed Black-Box Optimization.
IEEE Control. Syst. Lett., 2023

Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus.
CoRR, 2023

Split-Boost Neural Networks.
CoRR, 2023

Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.
IEEE Trans. Computational Imaging, 2022

2021
Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions.
IEEE Trans. Autom. Control., 2021

2020
Asynchronous parallel algorithms for nonconvex optimization.
Math. Program., 2020

Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning.
CoRR, 2020

2017
Essentially cyclic asynchronous nonconvex large-scale optimization.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Asynchronous parallel nonconvex large-scale optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-Agent asynchronous nonconvex large-scale optimization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence.
CoRR, 2016

Parallel asynchronous lock-free algorithms for nonconvex big-data optimization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016


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