A Convex Formulation for Learning Task Relationships in Multi-Task Learning

Details A Convex Formulation for Learning Task Relationships in Multi-Task Learning A Convex Formulation for Learning Task Relationships in Multi-Task Learning

2012-03-15

arxiv.org/abs/1203.3536v1

Computer Science

Learning

Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Scientific paper

Multi-task learning is a learning paradigm which seeks to improve the generalization performance of a learning task with the help of some other related tasks. In this paper, we propose a regularization formulation for learning the relationships between tasks in multi-task learning. This formulation can be viewed as a novel generalization of the regularization framework for single-task learning. Besides modeling positive task correlation, our method, called multi-task relationship learning (MTRL), can also describe negative task correlation and identify outlier tasks based on the same underlying principle. Under this regularization framework, the objective function of MTRL is convex. For efficiency, we use an alternating method to learn the optimal model parameters for each task as well as the relationships between tasks. We study MTRL in the symmetric multi-task learning setting and then generalize it to the asymmetric setting as well. We also study the relationships between MTRL and some existing multi-task learning methods. Experiments conducted on a toy problem as well as several benchmark data sets demonstrate the effectiveness of MTRL.

Affiliated with

Also associated with

No associations

Rating

A Convex Formulation for Learning Task Relationships in Multi-Task Learning does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Convex Formulation for Learning Task Relationships in Multi-Task Learning, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Convex Formulation for Learning Task Relationships in Multi-Task Learning will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-32433