3 papers
cs.LG2020
A study of local optima for learning feature interactions using neural networks
Yangzi Guo, Adrian Barbu
In many fields such as bioinformatics, high energy physics, power distribution, etc., it is desirable to learn non-linear models where a small number of variables are selected and…
cs.LG2020
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks
Gitesh Dawer, Yangzi Guo, Sida Liu +1
Artificial Neural Networks form the basis of very powerful learning methods. It has been observed that a naive application of fully connected neural networks to data with many irre…
cs.AI2019
Playing Atari Ball Games with Hierarchical Reinforcement Learning
Hua Huang, Adrian Barbu
Human beings are particularly good at reasoning and inference from just a few examples. When facing new tasks, humans will leverage knowledge and skills learned before, and quickly…