| Asynchronous parallel algorithms for nonconvex optimization L Cannelli, F Facchinei, V Kungurtsev, G Scutari Mathematical Programming 184 (1), 121-154, 2020 | 99* | 2020 |
| Asynchronous optimization over graphs: Linear convergence under error bound conditions L Cannelli, F Facchinei, G Scutari, V Kungurtsev IEEE Transactions on Automatic Control 66 (10), 4604-4619, 2020 | 21 | 2020 |
| Hedging using reinforcement learning: Contextual k-armed bandit versus Q-learning L Cannelli, G Nuti, M Sala, O Szehr The Journal of Finance and Data Science 9, 100101, 2023 | 17 | 2023 |
| Adaptive turbo equalization for underwater acoustic communication L Cannelli, G Leus, H Dol, P van Walree 2013 MTS/IEEE OCEANS-Bergen, 1-9, 2013 | 14 | 2013 |
| Multi-agent asynchronous nonconvex large-scale optimization L Cannelli, F Facchinei, G Scutari 2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017 | 8 | 2017 |
| Asynchronous parallel nonconvex large-scale optimization L Cannelli, F Facchinei, V Kungurtsev, G Scutari 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
| Parallel asynchronous lock-free algorithms for nonconvex big-data optimization L Cannelli, G Scutari, F Facchinei, V Kungurtsev 2016 50th Asilomar Conference on Signals, Systems and Computers, 1009-1013, 2016 | 6 | 2016 |
| Kernel regression imputation in manifolds via bi-linear modeling: The dynamic-MRI case K Slavakis, GN Shetty, L Cannelli, G Scutari, U Nakarmi, L Ying IEEE Transactions on Computational Imaging 8, 133-147, 2022 | 5 | 2022 |
| A Parallel Algorithm for Compressed Sensing Dynamic MRI Reconstruction L Cannelli, P Scarponi, G Scutari, L Ying 23rd annual meeting ISMRM, Toronto, 2015 | 3 | 2015 |
| Multi-agent active learning for distributed black-box optimization L Cannelli, M Zhu, F Farina, A Bemporad, D Piga IEEE Control Systems Letters 7, 1488-1493, 2023 | 2 | 2023 |
| Asynchronous Parallel Algorithms for Big-Data Nonconvex Optimization L Cannelli Purdue University Graduate School, 2019 | 1 | 2019 |
| Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus G Maroni, L Cannelli, D Piga arXiv preprint arXiv:2311.14182, 2023 | | 2023 |
| Split-Boost Neural Networks RG Cestari, G Maroni, L Cannelli, D Piga, S Formentin arXiv preprint arXiv:2309.03167, 2023 | | 2023 |
| Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach S Barcellona, L Cannelli, S Colnago, C Laurano, L Piegari 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | | 2023 |
| Essentially cyclic asynchronous nonconvex large-scale optimization L Cannelli, F Facchinei, V Kungurtsev, G Scutari IEEE Workshop on Signal Processing Advances in Wireless Communications …, 2017 | | 2017 |
Gesualdo ScutariPurdue University在 purdue.edu 的电子邮件经过验证
