| Title: | High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise |
Authors: | Armacki, Aleksandar; Yu, Shuhua; Sharma, Pranay; Joshi, Gauri; Bajović, Dragana   ; Jakovetić, Dušan; Kar, Soummya |
Issue Date: | 2025 |
Publication: | INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS |
ISSN: | 2640-3498  Search Idenfier |
Publisher: | PMLR |
Type: | Conference Paper |
Collation: | vol. 258 |
DOI: | 10.48550/arXiv.2310.18784 |
WoS-ID: | 001593416700198 |
URI: | https://enauka.gov.rs/handle/123456789/1029725 |
URL: | https://proceedings.mlr.press/v258/armacki25a.html |
Project: | NSF [CCF 2045694, CNS-2112471, CPS-2111751, SHF-2107024, ECCS-2330196]
ONR [N00014-23-1-2149]
Ministry of Science, Technological Development and Innovation [451-03-65/2024-03/200156]
Faculty of Technical Sciences, University of Novi Sad [01-3394/1]
European Union's Horizon Europe program [101093006, 101135775, 101135916]
Science Fund of Republic of Serbia, project "LASCADO" [7359]
Provincial Secretariat for Higher Education and Scientific Research [142-451-2593/2021-01/2] |
Metadata source: | (Preuzeto iz Nasi u WoS) |
M-category: | |
