Tamir Hazan, Ph.D.
Assistant professor

Faculty of Industrial Engineering and Management
Technion - Israel Institute of Technology
Bloomfield building, room 503
Technion City, Haifa 32000
tamir.hazan at technion.ac.il

[research]   [papers]   [courses]

Research interests

Our research interests involve the theoretical and practical aspects of machine learning. Our research focuses on mathematically founded solutions to modern real life problems that demonstrate non-traditional statistical behavior. Recent examples are perturbation models that allow efficient learning of high dimensional statistics, deep learning of infinite networks and primal-dual optimization for high-dimensional inference problem. The practice of our work is motivated by many computer vision problems, as well as computational biology and language processing.


Alex Schwing, now asisstant professor at UIUC.
Alon Cohen, (Ph.D. student)
Sergey Voldman, (Ph.D. student, jointly with prof. Shoham Sabach)
Andrey Isakov, (M.Sc. student)
Idan Schwartz, (M.Sc. student, jointly with prof. Benny Kimelfeld)
Noam Heimann, (M.Sc. student, jointly with prof. Erez Karpas)

Edited Volumes

Perturbations, Optimization, and Statistics (2016)
Tamir Hazan, George Papandreou, Daniel Tarlow (Editors).
Neural Information Processing series, MIT Press.
[MIT Press], [amazon]

Recent papers

  • T. Hazan, F. Orabona, A. Sarwate, S. Maji and T. Jaakkola
    High Dimensional Inference with Random Maximum A-Posteriori Perturbations
  • H. Averbuch-Elor, J. Kopf, T. Hazan and D. Cohen-Or
    Co-Segmentation for Space-Time Co-located Collections
    The Visual Computer Journal, 2017
  • A. Cohen, T. Hazan and T. Koren
    Tight Bounds for Bandit Combinatorial Optimization
    Computational Learning Theory (COLT), 2017
  • I. Schwartz, A. Schwing and T. Hazan
    High Order Attention Models for Visual Question Answering
    Neural Information Processing Systems (NIPS), 2017
  • O. Plonsky, I. Erez and, T. Hazan and M. Tenenholtz
    Psychological Forest: Predicting Human Behavior
    Association for the Advancement of Artificial Intelligence (AAAI), 2017