"hessian approximation" Papers
10 papers found
Conference
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
NEURIPS 2025spotlightarXiv:2507.00361
2
citations
A New Perspective on Shampoo's Preconditioner
Depen Morwani, Itai Shapira, Nikhil Vyas et al.
ICLR 2025arXiv:2406.17748
35
citations
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Muquan Li, Hang Gou, Dongyang Zhang et al.
NEURIPS 2025arXiv:2510.04838
1
citations
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
NEURIPS 2025arXiv:2510.17700
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
NEURIPS 2025arXiv:2505.22389
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
Sam Reifenstein, Timothee Leleu, Yoshihisa Yamamoto
ICML 2024arXiv:2405.01731
3
citations
Effective Federated Graph Matching
Yang Zhou, Zijie Zhang, Zeru Zhang et al.
ICML 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
Jian Li, Yong Liu, Wei Wang et al.
AAAI 2024paperarXiv:2401.02734
7
citations
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 2024arXiv:2405.19499
8
citations