On the theory of learnining with privileged information D Pechyony, V Vapnik Advances in neural information processing systems 23, 2010 | 144 | 2010 |
Transductive rademacher complexity and its applications R El-Yaniv, D Pechyony Journal of Artificial Intelligence Research 35, 193-234, 2009 | 84 | 2009 |
SMO-Style Algorithms for Learning Using Privileged Information. D Pechyony, R Izmailov, A Vashist, V Vapnik Dmin 10, 235-241, 2010 | 77 | 2010 |
Generalization bounds for online learning algorithms with pairwise loss functions Y Wang, R Khardon, D Pechyony, R Jones Conference on Learning Theory, 13.1-13.22, 2012 | 66 | 2012 |
Stability of transductive regression algorithms C Cortes, M Mohri, D Pechyony, A Rastogi Proceedings of the 25th international conference on Machine learning, 176-183, 2008 | 55 | 2008 |
Stable transductive learning R El-Yaniv, D Pechyony Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006 …, 2006 | 50 | 2006 |
Transductive rademacher complexity and its applications R El-Yaniv, D Pechyony International Conference on Computational Learning Theory, 157-171, 2007 | 46 | 2007 |
Fast optimization algorithms for solving SVM+ D Pechyony, V Vapnik Stat. Learning and Data Science 1, 2011 | 33 | 2011 |
Large margin vs. large volume in transductive learning R El-Yaniv, D Pechyony, V Vapnik Machine Learning 72, 173-188, 2008 | 31 | 2008 |
Decision trees: More theoretical justification for practical algorithms A Fiat, D Pechyony Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova …, 2004 | 28 | 2004 |
Solving large scale linear SVM with distributed block minimization D Pechyony, L Shen, R Jones NIPS 2011 workshop on big learning: Algorithms, systems, and tools for …, 2011 | 24 | 2011 |
Better multiclass classification via a margin-optimized single binary problem R El-Yaniv, D Pechyony, E Yom-Tov Pattern Recognition Letters 29 (14), 1954-1959, 2008 | 20 | 2008 |
Theory and practice of transductive learning D Pechyony, R El-Yaniv Computer Science Department, Technion, 2009 | 18 | 2009 |
Stability analysis and learning bounds for transductive regression algorithms C Cortes, M Mohri, D Pechyony, A Rastogi arXiv preprint arXiv:0904.0814, 2009 | 14 | 2009 |
Online learning with pairwise loss functions Y Wang, R Khardon, D Pechyony, R Jones arXiv preprint arXiv:1301.5332, 2013 | 13 | 2013 |
A joint optimization of incrementality and revenue to satisfy both advertiser and publisher D Pechyony, R Jones, X Li Proceedings of the 22nd International Conference on World Wide Web, 123-124, 2013 | 12 | 2013 |
Repairing self-confident active–transductive learners using systematic exploration R Begleiter, R El-Yaniv, D Pechyony Pattern Recognition Letters 29 (9), 1245-1251, 2008 | 7 | 2008 |
Parallel training of a support vector machine (SVM) with distributed block minimization D Pechyony, L Shen, R Jones US Patent 9,569,401, 2017 | 6 | 2017 |
Superior multi-class classification through a margin-optimized single binary problem R El-Yaniv, D Pechyony, E Yom-Tov Technical Report H-0243, IBM, 2006 | 2 | 2006 |
Decision trees: More theoretical justification for practical algorithms D Pechyony University of Tel-Aviv, 2004 | 2 | 2004 |