Poster "gradient clipping" Papers

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Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions

Ofir Gaash, Kfir Y. Levy, Yair Carmon

NEURIPS 2025arXiv:2502.16492

Convergence of Distributed Adaptive Optimization with Local Updates

Ziheng Cheng, Margalit Glasgow

ICLR 2025arXiv:2409.13155

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

Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping

Zijian Liu, Zhengyuan Zhou

ICLR 2025arXiv:2412.19529

Delving into Differentially Private Transformer

Youlong Ding, Xueyang Wu, Yining meng et al.

ICML 2024arXiv:2405.18194

High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails

Langqi Liu, Yibo Wang, Lijun Zhang

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