3 papers
cs.LG2021
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback
Semih Cayci, Yilin Zheng, Atilla Eryilmaz
In a wide variety of applications including online advertising, contractual hiring, and wireless scheduling, the controller is constrained by a stringent budget constraint on the a…
cs.LG2020
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang, Yilin Zheng, Jean Honorio
In this paper, we study meta learning for support (i.e., the set of non-zero entries) recovery in high-dimensional precision matrix estimation where we reduce the sufficient sample…
cs.CV2018
Outline Objects using Deep Reinforcement Learning
Zhenxin Wang, Sayan Sarcar, Jingxin Liu +2
Image segmentation needs both local boundary position information and global object context information. The performance of the recent state-of-the-art method, fully convolutional…