Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies

Author:

Zhao RenboORCID,Haskell William Benjamin,Tan Vincent Y. F.

Funder

NUS Young Investigator

MoE AcRF Tier 1

MOE Tier I

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

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3. Cell Zooming for Hybrid VLC-RF Cellular Networks With High Energy Efficiency;IEEE Wireless Communications Letters;2023-05

4. An Overview of Stochastic Quasi-Newton Methods for Large-Scale Machine Learning;Journal of the Operations Research Society of China;2023-02-25

5. Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition;Computational Optimization and Applications;2023-01-09

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