We consider a class of stochastic smooth convex optimization problems un...
Due to their remarkable mechanical and chemical properties, Ti-Al based
...
Learning with large-scale unlabeled data has become a powerful tool for
...
The goal of fine-grained action recognition is to successfully discrimin...
Early action prediction aims to successfully predict the class label of ...
We study the problem of average-reward Markov decision processes (AMDPs)...
We study the problem of policy evaluation with linear function approxima...
The problem of constrained Markov decision process (CMDP) is investigate...
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
Human behavior understanding with unmanned aerial vehicles (UAVs) is of ...
The focus of this paper is on stochastic variational inequalities (VI) u...
In this paper we first present a novel operator extrapolation (OE) metho...