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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Omnidirectional Transfer for Quasilinear Lifelong Learning

Published in arXiv preprint, 2020

Exploring lifelong learning algorithms: Omnidirectional Forests (Odif) and Omnidirectional Networks (Odin)

Recommended citation: Vogelstein, J.T., Dey, J., Helm, H.S., LeVine, W., Mehta, R.D., Geisa, A., Xu, H., Ven, G.M., Chang, E.J., Gao, C., Yang, W., Tower, B., Larson, J., White, C., & Priebe, C.E. (2020). Omnidirectional Transfer for Quasilinear Lifelong Learning. https://arxiv.org/abs/2004.12908

When are Deep Networks really better than Decision Forests at small sample sizes, and how?

Published in arXiv preprint, 2021

Conceptual & empirical comparisons between decision forests & deep networks

Recommended citation: Xu, H., Kinfu, K.A., LeVine, W., Panda, S., Dey, J., Ainsworth, M., Peng, Y., Kusmanov, M., Engert, F., White, C.M., Vogelstein, J.T., & Priebe, C.E. (2021). When are Deep Networks really better than Decision Forests at small sample sizes, and how? https://arxiv.org/abs/2108.13637

talks

teaching