"hessian approximation" Papers
7 papers found
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
NeurIPS 2025spotlightarXiv:2507.00361
1
citations
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
NeurIPS 2025posterarXiv:2505.22389
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
Sam Reifenstein, Timothee Leleu, Yoshihisa Yamamoto
ICML 2024poster
Effective Federated Graph Matching
Yang Zhou, Zijie Zhang, Zeru Zhang et al.
ICML 2024poster
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
AAAI 2024paperarXiv:2401.02734
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
AAAI 2024paperarXiv:2402.02359
3
citations
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Han Wang, Sihong He, Zhili Zhang et al.
ICML 2024poster