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Profile - photo by Melody Ott

Evan Ott

Email: contact@evanott.com
GitHub:
LinkedIn:

About Me

Updated "about me" section coming soon.

Education

UTPhD Statistics (Fall 2015 — Fall 2022)
The University of Texas at Austin
Dissertation: Probabilistic Neural Networks, advisor Sinead Williamson

UTB.S. Computer Science, B.S. Physics (Fall 2011 — Spring 2015)
The University of Texas at Austin
Turing Scholars and Dean's Scholars Honors Programs
Undergraduate Thesis: Estimating Rainfall with Neural Networks and Conditional Random Fields, supervisors Michael Marder and Pradeep Ravikumar

TAG LogoHigh School (Fall 2007 — Spring 2011)
School for the Talented and Gifted (TAG Magnet)
Co-Valedictorian, Senior Class President

Publications

Evan Ott and Sinead Williamson, "Nonparametric Posterior Normalizing Flows," ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023.

Evan Ott and Sinead Williamson, "Spike-and-Slab Probabilistic Backpropagation: When Smarter Approximations Make No Difference," NeurIPS I Can't Believe It's Not Better Workshop, 2022.