no code implementations • NeurIPS 2023 • Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Our approach is based on a multi-layer online ensemble framework incorporating novel ingredients, including a carefully designed optimism for unifying diverse function types and cascaded corrections for algorithmic stability.
no code implementations • 7 Feb 2021 • Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou
We study the problem of Online Convex Optimization (OCO) with memory, which allows loss functions to depend on past decisions and thus captures temporal effects of learning problems.
no code implementations • 22 Jul 2020 • Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Our framework is able to fit its behavior to different storage budgets when learning with feature evolvable streams with unlabeled data.
