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Shai Shalev-Shwartz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    Smooth e-Intensive Regression by Loss Symmetrization. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:433-447 [Conf]
  2. Shai Shalev-Shwartz, Yoram Singer
    A New Perspective on an Old Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:264-278 [Conf]
  3. Shai Shalev-Shwartz, Yoram Singer
    Online Learning Meets Optimization in the Dual. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:423-437 [Conf]
  4. Michael Fink 0002, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
    Online multiclass learning by interclass hypothesis sharing. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:313-320 [Conf]
  5. Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
    Online and batch learning of pseudo-metrics. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  6. Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
    Learning to Align Polyphonic Music. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2004, pp:- [Conf]
  7. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  8. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
    Online Passive-Aggressive Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  10. Shai Shalev-Shwartz, Shlomo Dubnov, Nir Friedman, Yoram Singer
    Robust temporal and spectral modeling for query By melody. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:331-338 [Conf]
  11. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    Smooth epsiloon-Insensitive Regression by Loss Symmetrization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:711-741 [Journal]
  12. Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer
    Online Passive-Aggressive Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:551-585 [Journal]
  13. Shai Shalev-Shwartz, Yoram Singer
    Efficient Learning of Label Ranking by Soft Projections onto Polyhedra. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1567-1599 [Journal]
  14. Sivan Sabato, Shai Shalev-Shwartz
    Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:559-573 [Conf]
  15. Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
    Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:807-814 [Conf]
  16. Shai Shalev-Shwartz, Yoram Singer
    Convex Repeated Games and Fenchel Duality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1265-1272 [Conf]
  17. Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
    Online Classification for Complex Problems Using Simultaneous Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:17-24 [Conf]

  18. On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms. [Citation Graph (, )][DBLP]


  19. Efficient projections onto the l1-ball for learning in high dimensions. [Citation Graph (, )][DBLP]


  20. Efficient bandit algorithms for online multiclass prediction. [Citation Graph (, )][DBLP]


  21. SVM optimization: inverse dependence on training set size. [Citation Graph (, )][DBLP]


  22. Stochastic methods for l1 regularized loss minimization. [Citation Graph (, )][DBLP]


  23. Efficient Learning with Partially Observed Attributes. [Citation Graph (, )][DBLP]


  24. Fast Rates for Regularized Objectives. [Citation Graph (, )][DBLP]


  25. Mind the Duality Gap: Logarithmic regret algorithms for online optimization. [Citation Graph (, )][DBLP]


  26. Applications of strong convexity--strong smoothness duality to learning with matrices [Citation Graph (, )][DBLP]


  27. Efficient Learning with Partially Observed Attributes [Citation Graph (, )][DBLP]


  28. Online Learning of Noisy Data with Kernels [Citation Graph (, )][DBLP]


  29. Learning Kernel-Based Halfspaces with the Zero-One Loss [Citation Graph (, )][DBLP]


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