Gesualdo Scutari
Purdue University
H-index: 51
North America-United States
Top articles of Gesualdo Scutari
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence | Advances in Neural Information Processing Systems | Marie Maros Gesualdo Scutari | 2024/2/13 |
A unified view of decentralized algorithms for sparse linear regression | Marie Maros Gesualdo Scutari | 2023/12/10 | |
Distributed (ATC) gradient descent for high dimension sparse regression | IEEE Transactions on Information Theory | Yao Ji Gesualdo Scutari Ying Sun Harsha Honnappa | 2023/4/17 |
Decentralized asynchronous non-convex stochastic optimization on directed graphs | IEEE Transactions on Control of Network Systems | Vyacheslav Kungurtsev Mahdi Morafah Tara Javidi Gesualdo Scutari | 2023/2/3 |
Distributed sparse regression via penalization | Journal of Machine Learning Research | Yao Ji Gesualdo Scutari Ying Sun Harsha Honnappa | 2023 |
Optimal gradient sliding and its application to optimal distributed optimization under similarity | Advances in Neural Information Processing Systems | Dmitry Kovalev Aleksandr Beznosikov Ekaterina Borodich Alexander Gasnikov Gesualdo Scutari | 2022/12/6 |
High-dimensional inference over networks: Linear convergence and statistical guarantees | arXiv preprint arXiv:2201.08507 | Ying Sun Marie Maros Gesualdo Scutari Guang Cheng | 2022/1/21 |
Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case | Optimization Methods and Software | Francisco Facchinei Vyacheskav Kungurtsev Lorenzo Lampariello Gesualdo Scutari | 2022/7/4 |
DGD^ 2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery | Advances in Neural Information Processing Systems | Marie Maros Gesualdo Scutari | 2022/12/6 |
Finite-bit quantization for distributed algorithms with linear convergence | IEEE Transactions on Information Theory | Nicolò Michelusi Gesualdo Scutari Chang-Shen Lee | 2022/11 |
Distributed optimization based on gradient tracking revisited: Enhancing convergence rate via surrogation | SIAM Journal on Optimization | Ying Sun Amir Daneshmand Gesualdo Scutari | 2022 |
Acceleration in distributed optimization under similarity | Ye Tian Gesualdo Scutari Tianyu Cao Alexander Gasnikov | 2022/5/3 | |
Acceleration in distributed sparse regression | Advances in Neural Information Processing Systems | Marie Maros Gesualdo Scutari | 2022/12/6 |
Kernel regression imputation in manifolds via bi-linear modeling: The dynamic-MRI case | IEEE Transactions on Computational Imaging | Konstantinos Slavakis Gaurav N Shetty Loris Cannelli Gesualdo Scutari Ukash Nakarmi | 2022/2/1 |
Newton method over networks is fast up to the statistical precision | Amir Daneshmand Gesualdo Scutari Pavel Dvurechensky Alexander Gasnikov | 2021/2/12 | |
Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity | Mathematics of Operations Research | Francisco Facchinei Vyacheslav Kungurtsev Lorenzo Lampariello Gesualdo Scutari | 2021/5 |
Kernel bi-linear modeling for reconstructing data on manifolds: The dynamic-MRI case | Gaurav N Shetty Konstantinos Slavakis Ukash Nakarmi Gesualdo Scutari Leslie Ying | 2021/1/18 | |
Iteration complexity of a fixed-stepsize SQP method for nonconvex optimization with convex constraints | Francisco Facchinei Vyacheslav Kungurtsev Lorenzo Lampariello Gesualdo Scutari | 2021 | |
An accelerated second-order method for distributed stochastic optimization | Artem Agafonov Pavel Dvurechensky Gesualdo Scutari Alexander Gasnikov Dmitry Kamzolov | 2021/12/14 | |
Distributed saddle-point problems under data similarity | Advances in Neural Information Processing Systems | Aleksandr Beznosikov Gesualdo Scutari Alexander Rogozin Alexander Gasnikov | 2021/12/6 |
Co-Authors
