Scutari, Gesualdo

12 publications

JMLR 2025 Decentralized Sparse Linear Regression via Gradient-Tracking Marie Maros, Gesualdo Scutari, Ying Sun, Guang Cheng

NeurIPS 2024 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov

NeurIPS 2023 Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence Marie Maros, Gesualdo Scutari

JMLR 2023 Distributed Sparse Regression via Penalization Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa

AISTATS 2022 Acceleration in Distributed Optimization Under Similarity Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov

NeurIPS 2022 Acceleration in Distributed Sparse Regression Marie Maros, Gesualdo Scutari

NeurIPS 2022 DGD^2: A Linearly Convergent Distributed Algorithm for High-Dimensional Statistical Recovery Marie Maros, Gesualdo Scutari

NeurIPS 2022 Optimal Gradient Sliding and Its Application to Optimal Distributed Optimization Under Similarity Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander Gasnikov, Gesualdo Scutari

NeurIPS 2021 Distributed Saddle-Point Problems Under Data Similarity Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander Gasnikov

ICML 2021 Newton Method over Networks Is Fast up to the Statistical Precision Amir Daneshmand, Gesualdo Scutari, Pavel Dvurechensky, Alexander Gasnikov

AISTATS 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari

JMLR 2019 Decentralized Dictionary Learning over Time-Varying Digraphs Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler