activity
20222026
most citedStochastic Conservative Contextual Linear Bandits

1 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.LG2026

Multi-Task Representation Learning for Conservative Linear Bandits

Jiabin Lin, Shana Moothedath

This paper presents the Constrained Multi-Task Representation Learning (CMTRL) framework for linear bandits. We consider T linear bandit tasks in a d dimensional space, which share…

cs.LG2026

RepUCB: Representation Learning-Based UCB for Heterogeneous Multi-Task Linear Bandits

Jiabin Lin, Shana Moothedath

Multi-task representation learning exploits the shared structure among related tasks by learning a common latent representation, thereby improving sample efficiency. This paper int…