Miles Lopes, Ph.D.

Miles Lopes

Position Title
Assistant Professor


4105 Mathematical Sciences Building
One Shields Avenue, Davis CA 95616

Research Interests

  • High-Dimensional Statistics and Machine Learning
  • Bootstrap methods
  • Error analysis for randomized algorithms (e.g. numerical linear algebra)

Recent Publications

  • On the maximum of dependent Gaussian random variables: A sharp bound for the lower tail. Technical report (submitted), 2018. [link]
  • Bootstrapping max statistics in high dimensions:
    Near-parametric rates under weak variance decay and application to functional data analysis
    Authors: M. E. Lopes, Z. Lin, H.-G. Mueller Technical report (submitted), 2018. [link]
  • Estimating the algorithmic variance of randomized ensembles via the bootstrap The Annals of Statistics, (to appear) 2018+. [link]
  • Error estimation for randomized least-squares algorithms via the bootstrap Authors: M. E. Lopes, S. Wang, M. W. Mahoney
    International Conference on Machine Learning (ICML) 2018. [link] [(long version)]
  • Bootstrapping spectral statistics in high dimensions Authors: M. E. Lopes, A. Blandino, A. Aue. Technical report (submitted), 2017. [link]
  • A bootstrap method for error estimation in randomized matrix multiplication Authors: M. E. Lopes, S. Wang, M. W. Mahoney
    Technical report (submitted), 2017. [link]


  • UC Berkeley Ph.D.