PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor ASSOCIATE PROF. Yacov Crammer
Advisor’s Email
Advisor’s Home-Site
No of theses 22
Department Electrical and Computer Engineering
Department Web Site
Student’s Name Graduation Year Degree Abstracts Research Name
Katz Itamar 2019 PhD Abstracts Representation Learning via Clustering and Hierarchical Structures
Ben Esti Hadas 2016 PhD Abstracts Statistical Methods for Speech Processing in Low Resource Environments
Evron Itay 2019 MSc Abstracts Efficient Loss-Based Decoding on Graphs for Extreme Classification
Haimovitch Yoav 2013 MSc Abstracts Large-Scale Semi-Supervised Sentiment Analysis
Mejer Avihai 2012 MSc Abstracts Confidence Estimation in Structured Predicition
Sason Eliyahu 2020 MSc Abstracts Structured Label Classification using Deep Learning
Matari Yakir 2019 MSc Abstracts Improving Semantic Classification in Deep Learning Models
Amar Moshe 2018 MSc Abstracts Layman’s Learning to be an Expert: An Efficient Online Multiclass Classification for Hierarchical-Structured Classes
Petersil Boaz 2018 MSc Abstracts Improving Ranking Performance for a CQA Vertical Search by Modeling Unmatched Terms and Learning a Term Similarity Function
Erihov Miri 2017 MSc Abstracts Identifying Accurate Twilight-Zone Alignments with Machine Learning and Local Information
Cohen Haim 2017 MSc Abstracts Multi-Task Learning with a Shared Annotator
Glassner Yonatan 2016 MSc Abstracts Efficient Resource Allocation using Multi Armed Bandit Variation
Barzilai Aviad 2016 MSc Abstracts Convex Multi-Task Learning by Clustering
Finkelstein Yehuda 2016 MSc Abstracts Unsupervised Phoneme Alignment under Transient Noise
Kravchik Ilya 2015 MSc Abstracts Learning Drifting Data Using Selective Sampling
Barsky Daniel 2015 MSc Abstracts CONQUER – Confusion Queried Bandit Learning
Noy Asaf 2014 MSc Abstracts Robust Forward Algorithms via PAC-Bayes and Laplace Distributions
Orbach Matan 2013 MSc Abstracts Semi-Supervised Learning with Confidence
Moroshko Edward 2013 MSc Abstracts New Min-Max Algorithms and Analysis for Online Regression
Vatashsky Ben-Zion 2012 MSc Abstracts Mixed Norm Regularization for Learning with Many Labels
Bretter Ronny 2012 MSc Abstracts Multi Learning with Distortion Rate Theory
Vaits Nina 2012 MSc Abstracts Re-Adapting the Regularization of Weights for Non Stationary Regreession