"hessian approximation" Papers

Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance

Qiujiang Jin, Aryan Mokhtari

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.

Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization

Sam Reifenstein, Timothee Leleu, Yoshihisa Yamamoto

Effective Federated Graph Matching

Yang Zhou, Zijie Zhang, Zeru Zhang et al.

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

Han Wang, Sihong He, Zhili Zhang et al.