Tyler LaBonte

Tyler LaBonte Machine Learning Research Intern at Google X Viterbi Fellow at the University of Southern California t + lastname@usc.edu

About Me

I am a machine learning research intern at Google X working on computational agriculture and an undergraduate researcher in the Theory Group at USC, formerly advised by Jason D. Lee and David Kempe. Previously, I was a machine learning research intern at Sandia National Laboratories and the Air Force Research Laboratory.

Research Interests

• Mathematical Foundations of Machine Learning and Data Science

• Theory of Deep Learning and Deep Reinforcement Learning

• Online Learning and Bandit Problems

• Non-Convex Optimization and High-Dimensional Statistics

• Explainability, Fairness, Robustness, and Scalability of Machine Learning

Selected Awards

• USC Trustee Scholar ($250,000)

• USC Viterbi Fellow ($24,000)

• Dolphin Scholarship ($13,600)

• Admiral Bernard Clarey Memorial Scholarship ($7,000)

Selected Publications

• We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty
  Tyler LaBonte, Carianne Martinez, and Scott A. Roberts.
  Under submission to ECCV 2020.