Zak Mhammedi

Zak Mhammedi

PhD Student

Australian National University

I am a fourth-year PhD student in computer science at the Australian National University, advised by Bob Williamson and Wouter Koolen.

My current research focuses on theoretical aspects of machine learning. Typical research questions I like to tackle include:

  • How well does an algorithm generalize in a given learning setting? (articles)
  • How to design (universal) algorithms that automatically adapt to different easinesses of the problem at hand? (articles)
  • To what extent can one “learn” in a given problem setting? (articles)

Interests

  • Online Learning
  • Stochastic Optimization
  • Distributionally Robust Optimization
  • Statistical Learning (Generalization Bounds)

Education

  • PhD in Computer Science

    Australian National University

  • MPhil in Computer Science, 2017

    The University of Melbourne

  • MEng in Mechanical Engineering, 2015

    The University of Melbourne

  • BSc, 2012

    Ecole Centrale Paris

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