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Loris Cannelli
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2020 – today
- 2023
- [j4]Loris Cannelli
, Mengjia Zhu
Multi-Agent Active Learning for Distributed Black-Box Optimization. IEEE Control. Syst. Lett. 7: 1488-1493 (2023) - [c5]Simone Barcellona
Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach. MetroXRAINE 2023: 389-394 - [i4]Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga
Split-Boost Neural Networks. CoRR abs/2309.03167 (2023) - [i3]Gabriele Maroni, Loris Cannelli, Dario Piga
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. CoRR abs/2311.14182 (2023) - 2022
- [j3]Konstantinos Slavakis
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. IEEE Trans. Computational Imaging 8: 133-147 (2022) - 2021
- [j2]Loris Cannelli
Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions. IEEE Trans. Autom. Control. 66(10): 4604-4619 (2021) - 2020
- [j1]Loris Cannelli
Asynchronous parallel algorithms for nonconvex optimization. Math. Program. 184(1): 121-154 (2020) - [i2]Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr:
Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning. CoRR abs/2007.01623 (2020)
2010 – 2019
- 2017
- [c4]Loris Cannelli
Multi-Agent asynchronous nonconvex large-scale optimization. CAMSAP 2017: 1-5 - [c3]Loris Cannelli
Asynchronous parallel nonconvex large-scale optimization. ICASSP 2017: 4706-4710 - [c2]Loris Cannelli
Essentially cyclic asynchronous nonconvex large-scale optimization. SPAWC 2017: 1-5 - 2016
- [c1]Loris Cannelli
Parallel asynchronous lock-free algorithms for nonconvex big-data optimization. ACSSC 2016: 1009-1013 - [i1]Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence. CoRR abs/1607.04818 (2016)
Coauthor Index
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