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cs.LG2019
Seven Myths in Machine Learning Research
Oscar Chang, Hod Lipson
We present seven myths commonly believed to be true in machine learning research, circa Feb 2019. This is an archival copy of the blog post at https://crazyoscarchang.github.io/201…
cs.LG2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Oscar Chang, Robert Kwiatkowski, Siyuan Chen +1
We show that it is possible to reduce a high-dimensional object like a neural network agent into a low-dimensional vector representation with semantic meaning that we call agent em…
cs.LG2018
Autostacker: A Compositional Evolutionary Learning System
Boyuan Chen, Harvey Wu, Warren Mo +2
We introduce an automatic machine learning (AutoML) modeling architecture called Autostacker, which combines an innovative hierarchical stacking architecture and an Evolutionary Al…