2 papers
cs.LG2026
Robust multi-task boosting using clustering and local ensembling
Seyedsaman Emami, Daniel Hernández-Lobato, Gonzalo MartÃnez-Muñoz
Multi-Task Learning (MTL) aims to boost predictive performance by sharing information across related tasks, yet conventional methods often suffer from negative transfer when unrela…
cs.LG2025
Robust-Multi-Task Gradient Boosting
Seyedsaman Emami, Gonzalo MartÃnez-Muñoz, Daniel Hernández-Lobato
Multi-task learning (MTL) has shown effectiveness in exploiting shared information across tasks to improve generalization. MTL assumes tasks share similarities that can improve per…