2008 |
27 | EE | Shai Shalev-Shwartz,
Yoram Singer:
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms.
COLT 2008: 311-322 |
26 | EE | John Duchi,
Shai Shalev-Shwartz,
Yoram Singer,
Tushar Chandra:
Efficient projections onto the l1-ball for learning in high dimensions.
ICML 2008: 272-279 |
25 | EE | Sham M. Kakade,
Shai Shalev-Shwartz,
Ambuj Tewari:
Efficient bandit algorithms for online multiclass prediction.
ICML 2008: 440-447 |
24 | EE | Shai Shalev-Shwartz,
Nathan Srebro:
SVM optimization: inverse dependence on training set size.
ICML 2008: 928-935 |
23 | EE | Shai Shalev-Shwartz,
Sham M. Kakade:
Mind the Duality Gap: Logarithmic regret algorithms for online optimization.
NIPS 2008: 1457-1464 |
22 | EE | Karthik Sridharan,
Shai Shalev-Shwartz,
Nathan Srebro:
Fast Rates for Regularized Objectives.
NIPS 2008: 1545-1552 |
21 | EE | Shai Shalev-Shwartz:
Perceptron Algorithm.
Encyclopedia of Algorithms 2008 |
20 | EE | Ofer Dekel,
Shai Shalev-Shwartz,
Yoram Singer:
The Forgetron: A Kernel-Based Perceptron on a Budget.
SIAM J. Comput. 37(5): 1342-1372 (2008) |
2007 |
19 | EE | Sivan Sabato,
Shai Shalev-Shwartz:
Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking.
COLT 2007: 559-573 |
18 | EE | Shai Shalev-Shwartz,
Yoram Singer,
Nathan Srebro:
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM.
ICML 2007: 807-814 |
17 | EE | Joseph Keshet,
Shai Shalev-Shwartz,
Yoram Singer,
D. Chazan:
A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment.
IEEE Transactions on Audio, Speech & Language Processing 15(8): 2373-2382 (2007) |
16 | EE | Shai Shalev-Shwartz,
Yoram Singer:
A primal-dual perspective of online learning algorithms.
Machine Learning 69(2-3): 115-142 (2007) |
2006 |
15 | EE | Shai Shalev-Shwartz,
Yoram Singer:
Online Learning Meets Optimization in the Dual.
COLT 2006: 423-437 |
14 | EE | Michael Fink,
Shai Shalev-Shwartz,
Yoram Singer,
Shimon Ullman:
Online multiclass learning by interclass hypothesis sharing.
ICML 2006: 313-320 |
13 | EE | Shai Shalev-Shwartz,
Yoram Singer:
Convex Repeated Games and Fenchel Duality.
NIPS 2006: 1265-1272 |
12 | EE | Yonatan Amit,
Shai Shalev-Shwartz,
Yoram Singer:
Online Classification for Complex Problems Using Simultaneous Projections.
NIPS 2006: 17-24 |
11 | EE | Shai Shalev-Shwartz,
Yoram Singer:
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra.
Journal of Machine Learning Research 7: 1567-1599 (2006) |
10 | EE | Koby Crammer,
Ofer Dekel,
Joseph Keshet,
Shai Shalev-Shwartz,
Yoram Singer:
Online Passive-Aggressive Algorithms.
Journal of Machine Learning Research 7: 551-585 (2006) |
2005 |
9 | EE | Shai Shalev-Shwartz,
Yoram Singer:
A New Perspective on an Old Perceptron Algorithm.
COLT 2005: 264-278 |
8 | EE | Ofer Dekel,
Shai Shalev-Shwartz,
Yoram Singer:
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget.
NIPS 2005 |
7 | EE | Ofer Dekel,
Shai Shalev-Shwartz,
Yoram Singer:
Smooth epsiloon-Insensitive Regression by Loss Symmetrization.
Journal of Machine Learning Research 6: 711-741 (2005) |
2004 |
6 | EE | Shai Shalev-Shwartz,
Yoram Singer,
Andrew Y. Ng:
Online and batch learning of pseudo-metrics.
ICML 2004 |
5 | EE | Shai Shalev-Shwartz,
Joseph Keshet,
Yoram Singer:
Learning to Align Polyphonic Music.
ISMIR 2004 |
4 | EE | Ofer Dekel,
Shai Shalev-Shwartz,
Yoram Singer:
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees.
NIPS 2004 |
2003 |
3 | EE | Ofer Dekel,
Shai Shalev-Shwartz,
Yoram Singer:
Smooth e-Intensive Regression by Loss Symmetrization.
COLT 2003: 433-447 |
2 | EE | Shai Shalev-Shwartz,
Koby Crammer,
Ofer Dekel,
Yoram Singer:
Online Passive-Aggressive Algorithms.
NIPS 2003 |
2002 |
1 | EE | Shai Shalev-Shwartz,
Shlomo Dubnov,
Nir Friedman,
Yoram Singer:
Robust temporal and spectral modeling for query By melody.
SIGIR 2002: 331-338 |