2024 "finite-sum optimization" Papers
5 papers found
Faster Adaptive Decentralized Learning Algorithms
Feihu Huang, jianyu zhao
ICML 2024spotlight
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
AAAI 2024paperarXiv:2402.02359
3
citations
On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition
Yunyan Bai, Yuxing Liu, Luo Luo
ICML 2024spotlight
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
Yexin Zhang, Chenyi Zhang, Cong Fang et al.
ICML 2024poster
SILVER: Single-loop variance reduction and application to federated learning
Kazusato Oko, Shunta Akiyama, Denny Wu et al.
ICML 2024poster