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All publications by Joseph Keshet
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Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Joseph Keshet and David A. Mcallester
Advances in Neural Information Processing Systems 24, 2011


Direct Loss Minimization for Structured Prediction
Tamir Hazan, Joseph Keshet and David A. Mcallester
Advances in Neural Information Processing Systems 23, 2010


Bounded Kernel-Based Online Learning
Francesco Orabona, Joseph Keshet and Barbara Caputo
Journal of Machine Learning Research, 2009


The projectron: a bounded kernel-based Perceptron
Francesco Orabona, Joseph Keshet and Barbara Caputo
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and St├ęphane Canu
Advances in Neural Information Processing Systems 21, 2008


Online Passive-Aggressive Algorithms
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2006


Large margin hierarchical classification
Ofer Dekel, Joseph Keshet and Yoram Singer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Kernel Design Using Boosting
Koby Crammer, Joseph Keshet and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002