PUBLICATIONS

  • 2019

    Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and Consistency

    M. M. Dunlop, T. Helin and A. M. Stuart
    Submitted

  • Large data and zero noise limits of graph-based semi-supervised learning algorithms

    M. M. Dunlop, D. Slepcev, A. M. Stuart and M. Thorpe
    Applied and Computational Harmonic Analysis

  • 2018

    Reconciling Bayesian and Total Variation Methods for Binary Inversion

    M. M. Dunlop, C. M. Elliott, V. Ha Hoang and A. M. Stuart
    Submitted

  • Dimension-Robust MCMC in Bayesian Inverse Problems

    V. Chen, M. M. Dunlop, O. Papaspiliopoulos and A. M. Stuart
    Submitted

  • How deep are Deep Gaussian Processes?

    M. M. Dunlop, M. Girolami, A. M. Stuart and A. L. Teckentrup
    Journal of Machine Learning Research 19 54

  • Iterative updating of model error for Bayesian inversion

    D. Calvetti, M. M. Dunlop, E. Somersalo and A. M. Stuart
    Inverse Problems 34 2

  • 2017

    Hierarchical Bayesian level set inversion

    M. M. Dunlop, M. A. Iglesias and A. M. Stuart
    Statistics and Computing 27 6

  • 2016

    The Bayesian formulation of EIT: analysis and algorithms

    M. M. Dunlop and A. M. Stuart
    Inverse Problems and Imaging 10 4

  • MAP estimators for piecewise continuous inversion

    M. M. Dunlop and A. M. Stuart
    Inverse Problems 32 10

  • Analysis and Computation for Bayesian Inverse Problems

    M. M. Dunlop
    PhD Thesis

RÉSUMÉ

EDUCATION

    • 2013-2016  
    • PhD Mathematics and Statistics
      University of Warwick

    • 2012-2013  
    • MSc Mathematics and Statistics
      University of Warwick

    • 2008-2012  
    • MMath Mathematics                  
      University of Warwick

EMPLOYMENT

    • 2019-           
    • Postdoctoral Associate
      Courant Institute of Mathematical Sciences

    • 2018-2019  
    • Postdoctoral Researcher
      University of Helsinki

    • 2016-2018  
    • Postdoctoral Scholar
      California Institute of Technology

TEACHING

CMS/ACM 107 Introduction to Linear Analysis with Applications (Fall 2017)

CMS/ACM 107 Introduction to Linear Analysis with Applications (Fall 2016)