Publications

2022

• Kevin Miller, Jack Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeffrey Calder, and Andrea Bertozzi:
  Graph-based Active Learning for Semi-supervised Classification of SAR Data
  SPIE Conference on Defense and Commercial Sensing 2022

2021

• Yifan Hua, Kevin Miller, Bao Wang, Chen Qian, and Andrea Bertozzi:
  Efficient and Reliable Overlay Networks for Decentralized Federated Learning
  Accepted to SIAM Journal on Applied Mathematics (SIAP)

• Kevin Miller and Andrea L. Bertozzi:
  Model Change Active Learning in Graph-Based Semi-Supervised Learning
  Submitted to SIAM Journal on Mathematics of Data Science (SIMODS)

• Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, and Andrew Stuart:
  Posterior Consistency of Semi-Supervised Regression on Graphs
  IOP Inverse Problems

2020

• Kevin Miller, Hao Li, and Andrea L. Bertozzi:
  Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
  ICML Workshop on Real World Experiment Design and Active Learning [arXiv]

2017

• Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley Osher.:
  Pre-processing and classification of hyperspectral imagery via selective inpainting
  IEEE ICASSP

Other

• Kevin Miller, Chris Hettinger, Jeffrey Humpherys, Tyler Jarvis, and David Kartchner:
  Forward Thinking : Building Deep Random Forests
  [arXiv]