Victor Minden

Victor Minden

Computational mathematician

Talks and Posters

Conference Talks

  • 52nd Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2018. “Biologically plausible online Principal Component Analysis without recurrent neural dynamics”.
  • Copper Mountain Conference on Iterative Methods, Copper Mountain, CO, 2018. “A recursive skeletonization factorization based on strong admissibility”.
  • SIAM Annual Meeting, Pittsburgh, PA, 2017. “Fast spatial Gaussian process maximum likelihood estimation”. (Slides)
  • SIAM Annual Meeting, Boston, MA, 2016. “Efficient preconditioners and hierarchical interpolative decompositions”.
  • SIAM Conference on Uncertainty Quantification, Lausanne, CHE, 2016. “Fast spatial Gaussian process maximum likelihood estimation via skeletonization factorizations”.
  • SIAM Conference on Applied Linear Algebra, Atlanta, GA, 2015. “Exploiting hierarchical low-rank compression for fast updating”.
  • SIAM Annual Meeting, Chicago, IL, 2014. “Updating techniques for hierarchical factorizations”.
  • 50th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2012. “A distributed self-clustering algorithm for autonomous multi-agent systems”.

Seminar Talks

  • Cornell Scientific Computing and Numerics Seminar, Ithaca, NY, 2018. “A recursive skeletonization factorization based on strong admissibility”.
  • Stanford Linear Algebra and Optimization Seminar, Stanford, CA, 2016. “Fast algorithms exploiting low-rank structure for graph clustering and integral equations”.
  • ICME Student Seminar, Stanford, CA, 2014. “A numerical method for solving Maxwell’s equations in free-space using an approximate IVP Green’s function”. (Slides)
  • Tufts SIAM Student Seminar, Medford, MA, 2010. “GPU computing for scientific computation applications”.
  • Tufts Mathematics Department Seminar, Medford, MA, 2010. “From kills to kilometers: using centrographic techniques and rational choice theory for geographical profiling of serial kilers”.

Other Talks

  • DOE CSGF Annual Program Review, Arlington, VA, 2016. “Fast spatial Gaussian process maximum likelihood estimation via skeletonization factorizations”.
  • Bay Area Scientific Computing Day, Berkeley, CA, 2015. “Fast spatial Gaussian process maximum likelihood estimation”.
  • Gene Golub SIAM Summer School Speed Talk, Delphi, GRC, 2015. “Fast computations with kernel matrices using hierarchical factorizations”.

Conference Posters

  • Computational and Systems Neuroscience (Cosyne), Denver, CO, 2018. “Biologically plausible online PCA without recurrent neural dynamics”. (Poster)

Other Posters

  • ICME Student Xpo, Stanford, CA, 2017. “Robust and efficient multi-way spectral clustering”. (Poster)
  • ICME Student Xpo, Stanford, CA, 2016. “Fast spatial Gaussian process maximum likelihood estimation via skeletonization factorizations”. (Poster)
  • DOE CSGF Annual Program Review, Arlington, VA, 2015. “A real-space Green’s function method for the numerical solution of Maxwell’s equations in free space”.
  • ICME Student Xpo, Stanford, CA, 2015. “Updating hierarchical factorizations in response to localized modifications”.
  • DOE CSGF Annual Program Review, Arlington, VA, 2014. “Updating techniques for tree-based factorizations”.
  • DOE CSGF Annual Program Review, Arlington, VA, 2013. “Spectral methods for seed-set expansion on graphs”.
  • LLNL Student Poster Session, Livermore, CA, 2012. “Commute time and related metrics for seed-set expansion”.