Fred Roosta




Fred (Farbod) Roosta
School of Mathematics and Physics
University of Queensland, Brisbane, Australia
International Computer Science Institute, Berkeley, USA



Research Interests

  • Machine Learning
  • Numerical Optimization
  • Randomized Algorithms
  • Computational Statistics
  • Numerical Analysis and Scientific Computing



  • June, 2018:  I was selected for the ICML 2018 Top 10 Reviewer award! It is like a "fair-play award" in some sports, or even a "good-behaviour award" in elementary school, but nonetheless, I am going to brag about it :-)
  • May, 2018:  We are represented at ICML 2018 with 2 papers! (this, which is about inference on random graphs and this, which studies some statistical properties of artificial neural nets).

Preprints and Publications



  • Optimization Methods for Inverse Problems
    Nan Ye, Farbod Roosta-Khorasani, and Tiangang Cui
    2017 MATRIX Annals, Editors: David R. Wood, Jan de Gier, Cheryl E. Praeger, Terence Tao. MATRIX Book Series, Volume 2, Springer (to appear)


  • Parallel Local Graph Clustering
    Julian Shun, Farbod Roosta-Khorasani, Kimon Fountoulakis and Michael W. Mahoney
    Proceedings of the VLDB Endowment, 9(12), pp. 1041-1052, 2016.




  • Rixon Crane (PhD)
  • Yang Liu (PhD)
  • Robert Salomone (PhD)


I always look for enthusiastic PhD students...

So, if (a) and (b), then feel free to drop me a line with your current CV and a few words regarding your research/background.

(a) Your research interests lie anywhere in the union of Machine Learning, Numerical Optimization, Randomized Algorithms, Computational Statistics, Scientific Computing, or Numerical Linear Algebra.

You are looking to do a PhD degree in one of the world's leading and highly ranked research universities in beautiful Australia.

Selected Presentations


  • INFORMS Annual Meeting

    Phoenix, Arizona, November, 2018

  • Randomized Numerical Linear Algebra and Applications - Simons Institute for the Theory of Computing

    Berkeley, California, September, 2018

  • Foundations of Data Science Boot Camp- Simons Institute for the Theory of Computing

    Berkeley, California, August, 2018



  • International Symposium on Mathematical Programming (ISMP)

    Bordeaux, France, July, 2018

  • International Conference on Econometrics and Statistics (EcoSta)

    Hong Kong, June, 2018

  • International Conference on Artificial Intelligence and Statistics (AISTATS)

    Lanzarote, Canary Islands, April, 2018

  • International Conference on High Performance Scientific Computing (HPSC)

    Hanoi, Vietnam, March, 2018

  • SIAM Annual Meeting

    Pittsburgh, Pennsylvania, July, 2017

  • Matrix Program on Computational Inverse Problems

    Creswick, Australia, June, 2017

  • SIAM Conference on Optimization

    Vancouver, Canada, May, 2017

  • IAM Conference on Computational Science and Engineeringg

    lanta, Georgia,Atlanta, Georgia, February, 2017

  • Computational and Methodological Statistics (CMStatistics)

    Seville, Spain, December, 2016

  • Pacific Institute for the Mathematical Sciences (SCAIM Seminar)

    Vancouver, British Columbia, September, 2016

  • Institute of Applied Mathematics (IAM)

    Vancouver, British Columbia, September, 2016

  • Virginia Tech Math Colloquium

    Blacksburg, Virginia, September, 2016

  • SAMSI Program on Optimization (Invited Plenary Talk)

    Research Triangle Park, North Carolina, August, 2016

  • Recent Advances in Randomized Numerical Linear Algebra

    National Institute of Informatics, Shonan Village Center, Japan, July, 2016

  • Workshop on Algorithms for Modern Massive Data Sets (MMDS)

    Berkeley, California, June, 2016

  • SIAM Conference on Uncertainty Quantification

    EPFL, Lausanne, Switzerland, April, 2016

  • Matrix Computations and Scientific Computing Seminar

    Berkeley, California, March, 2016

  • AMPLab (All Hands Meeting)

    Berkeley, California, September, 2015

  • Sparse Representations, Numerical Linear Algebra, and Optimization

    BIRS, Alberta, October, 2014

  • SIAM Conference on Optimization

    San Diego, California, May, 2014

  • Pacific Institute for the Mathematical Sciences (SCAIM Seminar)

    Vancouver, British Columbia, November, 2013