Transparent Scaling of Deep Learning Systems through Dataflow Graph Analysis
Jinyang Li, New York University
Leveraging Side-Information for Learning and Optimization under Uncertainty with Applications in Social and Communication Networks
Atilla Eryilmaz, Ohio State University
Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning?
Jia (Kevin) Liu，Iowa State University
Non-asymptotic Analysis of Reinforcement Learning Algorithms with Function Approximation
Shaofeng Zou, University at Buffalo
A Unified Program Synthesis Framework for Automating End-User Programming Tasks
Xinyu Wang, University of Texas at Austin
Markov Chain Monte Carlo and Random Walk on Graph for Network Applications: Basics, Status-Quo, and Beyond
Do Young Eun, North Carolina State University, Raleigh, NC
Modified log-Sobolev inequalities for strongly log-concave distributions
Heng Guo, University of Edinburgh
Markov Chain Monte Carlo and Random Walk on Graph for Network Applications: Basics, Status-Quo, and Beyond
Do Young Eun, North Carolina State University, Raleigh, NC
On the Information Theoretic Limits of Linear Secure Computation
Hua Sun, University of North Texas, USA