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cs.LG2026
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
Zhipeng Zhou, Linxiao Cao, Pengcheng Wu +2
Multi-Task Learning (MTL) is a foundational machine learning problem that has seen extensive development over the past decade. Recently, various optimization-based MTL approaches h…
cs.LG2024
Exploring the Generalization Capabilities of AID-based Bi-level Optimization
Congliang Chen, Li Shen, Zhiqiang Xu +3
Bi-level optimization has achieved considerable success in contemporary machine learning applications, especially for given proper hyperparameters. However, due to the two-level op…
cs.LG2024
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers
Ruiyu Li, Peilin Zhao, Guangxia Li +2
Online multi-task learning (OMTL) enhances streaming data processing by leveraging the inherent relations among multiple tasks. It can be described as an optimization problem in wh…