57 citations · 301 across the 27 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
stat.ML2019★ 2 cited
Global Capacity Measures for Deep ReLU Networks via Path Sampling
Ryan Theisen, Jason M. Klusowski, Huan Wang +3
Classical results on the statistical complexity of linear models have commonly identified the norm of the weights as a fundamental capacity measure. Generalizations of this…
cs.LG2019★ 14 cited
On the Generalization Gap in Reparameterizable Reinforcement Learning
Huan Wang, Stephan Zheng, Caiming Xiong +1
Understanding generalization in reinforcement learning (RL) is a significant challenge, as many common assumptions of traditional supervised learning theory do not apply. We focus…
cs.GT2019
Allocating Limited Resources to Protect a Massive Number of Targets using a Game Theoretic Model
Xu Liu, Xiaoqiang Di, Jinqing Li +4
Resource allocation is the process of optimizing the rare resources. In the area of security, how to allocate limited resources to protect a massive number of targets is especially…