research
∙
02/27/2018
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions
We consider the actor-critic contextual bandit for the mobile health (mH...
share
research
∙
01/10/2018
Adaptive Graph Convolutional Neural Networks
Graph Convolutional Neural Networks (Graph CNNs) are generalizations of ...
research
∙
08/17/2017
Robust Contextual Bandit via the Capped-ℓ_2 norm
This paper considers the actor-critic contextual bandit for the mobile h...
research
∙
04/17/2017
Effective Warm Start for the Online Actor-Critic Reinforcement Learning based mHealth Intervention
Online reinforcement learning (RL) is increasingly popular for the perso...
research
∙
09/12/2014
10,000+ Times Accelerated Robust Subset Selection (ARSS)
Subset selection from massive data with noised information is increasing...
research
∙
09/02/2014
Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity
Hyperspectral unmixing (HU) plays a fundamental role in a wide range of ...
research
∙
03/19/2014
Structured Sparse Method for Hyperspectral Unmixing
Hyperspectral Unmixing (HU) has received increasing attention in the pas...
research
∙
05/31/2013