Bio

Christopher Aicher I am a third year statistics PhD student at the University of Washington working with Emily B. Fox.

Prior to studying at the University of Washington, I obtained a BS/MS degree in Applied Mathematics from the University of Colorado Boulder, advised by Aaron Clauset.

Research

My research interests are in approximate inference methods for machine learning, specifically deterministic Bayesian approximations (e.g. Expectation Propagation and Variational Inference).

Experience

Publications

  1. Aicher, C., & Fox, E. B. (2016). Scalable clustering of correlated time series using expectation propagation. SIGKDD Workshop On MiLeTS. [PDF]
    BibTex
     @article{aicherc2016scalable,
      title = {Scalable clustering of correlated time series using expectation propagation},
      author = {Aicher, Christopher and Fox, Emily B.},
      journal = {SIGKDD Workshop on MiLeTS},
      year = {2016},
      link = {http://www-bcf.usc.edu/%7Eliu32/milets16/paper/MiLeTS_2016_paper_23.pdf}
    }
      
  2. Aicher, C., Jacobs, A. Z., & Clauset, A. (2015). Learning latent block structure in weighted networks. Journal Of Complex Networks, 3(2), 221–248. [PDF] [Code]  
    BibTex
     @article{aicher2015learning,
      title = {Learning latent block structure in weighted networks},
      author = {Aicher, Christopher and Jacobs, Abigail Z and Clauset, Aaron},
      journal = {Journal of Complex Networks},
      volume = {3},
      number = {2},
      pages = {221--248},
      year = {2015},
      publisher = {Oxford University Press},
      link = {http://arxiv.org/abs/1404.0431},
      code = {http://tuvalu.santafe.edu/%7Eaaronc/wsbm/}
    }
      
  3. Aicher, C., Jacobs, A. Z., & Clauset, A. (2013). Adapting the stochastic block model to edge-weighted networks. ICML Workshop On Structured Learning. [PDF]
    BibTex
     @article{aicher2013adapting,
      title = {Adapting the stochastic block model to edge-weighted networks},
      author = {Aicher, Christopher and Jacobs, Abigail Z and Clauset, Aaron},
      journal = {ICML Workshop on Structured Learning},
      year = {2013},
      link = {http://arxiv.org/abs/1305.5782}
    }