Professor of Computer Science at the Technion.
My research interests include a number of topics in machine learning. I am currently focusing on selective prediction, active learning, financial modeling, and deep (reinforcement) learning.
Research Papers
Current Teaching
- CS236606
Deep Learning
- CS234141 Combinatorics for Computer Science (Winter 2016/7)
- CS236757 Project in Learning systems
- Izik Golan, M.Sc.
- Amir
David Nissan Cohen, M.Sc.
- Yonatan
Geifman, Ph.D.
- Nadav Bhonker, M.Sc.
- Guy Uziel, Ph.D.
- Shai Rozenberg, M.Sc.
- Yair
Feldman, M.Sc.
- Igor
Margulis, M.Sc.
- Shunit Haviv, M.Sc.
Graduated Students
- Amit Gross, M.Sc. 2018
- Bar
Hilleli, M.Sc. 2017
- Roei Gelbhart, M.Sc. 2017
- Itay Hubara, M.Sc. 2016
- Noam Segev, M.Sc. 2015
- Yair Wiener, Ph.D. 2013
- Ron Begleiter, Ph.D. 2013
- Dmitry Pidan, M.Sc. 2013
- Alexandra Faynburd, M.Sc. 2011
- David Yanay, M.Sc. 2011
- Moredechai Nisenson, M.Sc. 2010
- Dmitry Pechyony, Ph.D. 2009
- Leonid Gerzon, M.Sc. 2006
- Itai Sharon, M.Sc. 2006
- Philip Derbeko, M.Sc. 2004
- Oren Souroujon, M.Sc. 2004
- Kobi Luz, M.Sc. 2003
- Ron Bekkerman, M.Sc. 2002
- Ziv Nevo, M.Sc. 2002
- Rani Yaroshinski, M.Sc. 2001
- Gregory Shakhnarovich, M.Sc. 2001
Editorials
I'm an associate editor of the Journal of Artificial Intelligence Research (JAIR), and on the editorial board of the Journal of Machine Learning Research (JMLR).
Conferences
I currently serve as Area Chair for IJCAI 2018
I served as area chair for NIPS 2016, IJCAI 2015, ICML 2013,
and was multiple times on the program committee of various conferences including COLT, ICML, AAAI, ALT and EC.
Book
Code
- Deep neural networks with binary weights and
activations, as discussed here
and here.
Code by Itay Hubara can be found here.
- STRLET: open source supervised transfer learning
toolkit: Java code by Noam Segev can be downloaded here.
The toolkit implements various known transfer learning
algorithms including our random forest based Structure
Transfer and Structure Expansion Reduction algorithms
(as discussed here).
- Sequence prediction using variable order models (as discussed here): Ron Begleiter's Java code can be downloaded here.
- Some active learning algorithms (as discussed here): Ron Begleiter and Kobi Luz's Java code can be downloaded here.
- 2D demo of several classification algorithms
(including Localized
Boosting): Gilad Mishne's Java applet
based on Weka
can be downloaded here.
Contact
The best way to reach me is via email: rani at cs dot
technion dot ac dot il
Note that my email response time can sometimes be very
slow.
Office: CS Dept. (Taub building), office
526
Office phone: (+972)-4-829-3379