3 papers
cs.LG2026
Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization
Xuxing Chen, Yun He, Jiayi Xu +9
In machine learning, the goal of multi-task learning (MTL) is to optimize multiple objectives together. Recent works, for example, Multiple Gradient Descent Algorithm (MGDA) and it…
math.OC2025
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
Wei Shen, Jiawei Zhang, Minhui Huang +1
We study bilevel optimization problems where the lower-level problems are strongly convex and have coupled linear constraints. To overcome the potential non-smoothness of the hyper…
cs.LG2025
MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation
Wei Shen, Zhang Yaxiang, Minhui Huang +3
With increasing size of large language models (LLMs), full-parameter fine-tuning imposes substantial memory demands. To alleviate this, we propose a novel memory-efficient training…