Fred Roosta


About
News
Papers
Students

Talks



 

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

Email: fred.roostauq.edu.au


About

Research Interests

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

News

 

  • 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

2018

2017

  • 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)

2016

  • 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.

2015

2014

Students

  • 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.

(b)
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

Upcoming

  • 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

     Past

     

  • 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

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