About Me

I’m a Ph.D. candidate advised by Prof. Assaf Schuster (Technion) and Prof. Moshe Gabel (University of Toronto).
My research interests include:

  • Machine learning algorithms
  • Optimization
  • Statistics

My research is about tradeoff between the amount of computations and the accuracy when using machine learning techniques on data streams with concept drift.

Conference Publications

Incremental Sensitivity Analysis for Kernelized Models. H. Sivan, M. Gabel, and A. Schuster. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2020. To appear.

Online linear models for edge computing. H. Sivan, M. Gabel, and A. Schuster. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2019.
Paper, Slides, Poster

Posters

Online Linear Models for Edge Computing. Hadar Sivan, Moshe Gable, Assaf Schuster. In AI week, Tel Aviv University, 2019.

Presentations

M.Sc. Thesis Seminar
Slides, September 2019

Awards and Scholarships

  • Hasso-Plattner Institute (HPI) scholarship. August, 2020
  • Faculty excellence award, spring 2020
  • Excellence scholarship dean’s support, winter 2018
  • 2011/12 and 2010/11 CS Excellent Students (SAMBA) Award
  • Presidents list for excellent students (3 semesters); Deans list for excellent students (5 semesters), 2008-2012