"gradient clipping" Papers
9 papers found
Conference
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
Ofir Gaash, Kfir Y. Levy, Yair Carmon
NEURIPS 2025arXiv:2502.16492
5
citations
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng, Margalit Glasgow
ICLR 2025arXiv:2409.13155
5
citations
Differentially Private Relational Learning with Entity-level Privacy Guarantees
Yinan Huang, Haoteng Yin, Eli Chien et al.
NEURIPS 2025arXiv:2506.08347
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Xinwei Zhang, Zhiqi Bu, Borja Balle et al.
ICLR 2025arXiv:2410.03883
5
citations
Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
Alexander Bodard, Panagiotis Patrinos
NEURIPS 2025spotlightarXiv:2509.15817
2
citations
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
Zijian Liu, Zhengyuan Zhou
ICLR 2025arXiv:2412.19529
28
citations
Delving into Differentially Private Transformer
Youlong Ding, Xueyang Wu, Yining meng et al.
ICML 2024arXiv:2405.18194
11
citations
High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails
Langqi Liu, Yibo Wang, Lijun Zhang
ICML 2024
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova et al.
ICML 2024arXiv:2310.01860
25
citations