Ohad Shamir

Tong Zhang

Proceedings of the 30th International Conference on Machine Learning, 2013

Probabilistic Label Trees for Efficient Large Scale Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the COLT 2013, 2013

Online Learning for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the COLT 2013, 2013

Efficient Transductive Online Learning via Randomized Rounding.

[BibT_eX]

[DOI]

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

Localization and Adaptation in Online Learning.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Learning from Weak Teachers.

[BibT_eX]

[DOI]

Ruth Urner

Shai Ben-David

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Open Problem: Is Averaging Needed for Strongly Convex Stochastic Gradient Descent?

[BibT_eX]

[DOI]

Proceedings of the COLT 2012, 2012

Using More Data to Speed-up Training Time.

[BibT_eX]

[DOI]

Eran Tromer

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal Distributed Online Prediction Using Mini-Batches.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Relax and Localize: From Value to Algorithms

[BibT_eX]

[DOI]

CoRR, 2012

Relax and Randomize : From Value to Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Decoupling Exploration and Exploitation in Multi-Armed Bandits.

[BibT_eX]

[DOI]

Orly Avner

Shie Mannor

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Online Learning of Noisy Data.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Learning Kernel-Based Halfspaces with the 0-1 Loss.

[BibT_eX]

[DOI]

SIAM J. Comput., 2011

Spectral Clustering on a Budget.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing.

[BibT_eX]

[DOI]

Proceedings of the COLT 2011, 2011

Efficient Learning with Partially Observed Attributes.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

A Variant of Azuma's Inequality for Martingales with Subgaussian Tails

[BibT_eX]

[DOI]

CoRR, 2011

Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization

[BibT_eX]

[DOI]

CoRR, 2011

From Bandits to Experts: On the Value of Side-Observations.

[BibT_eX]

[DOI]

Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning with the weighted trace-norm under arbitrary sampling distributions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Better Mini-Batch Algorithms via Accelerated Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient Online Learning via Randomized Rounding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning Linear and Kernel Predictors with the 0-1 Loss Function.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Adaptively Learning the Crowd Kernel.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Large-Scale Convex Minimization with a Low-Rank Constraint.

[BibT_eX]

[DOI]

Alon Gonen

Proceedings of the 28th International Conference on Machine Learning, 2011

Optimal Distributed Online Prediction.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Quantity Makes Quality: Learning with Partial Views.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

On stability in statistical machine learning (עם תקציר בעברית ושער נוסף: על יציבות בלמידה חישובית סטטיסטית.).

[BibT_eX]

[DOI]

PhD thesis, 2010

Learning and generalization with the information bottleneck.

[BibT_eX]

[DOI]

Sivan Sabato

Theor. Comput. Sci., 2010

Stability and model selection in <i>k</i>-means clustering.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Learning to classify with missing and corrupted features.

[BibT_eX]

[DOI]

Lin Xiao

Mach. Learn., 2010

Learnability, Stability and Uniform Convergence.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Multiclass-Multilabel Classification with More Classes than Examples.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Robust Distributed Online Prediction

[BibT_eX]

[DOI]

CoRR, 2010

Learning Kernel-Based Halfspaces with the Zero-One Loss.

[BibT_eX]

[DOI]

Proceedings of the COLT 2010, 2010

Online Learning of Noisy Data with Kernels.

[BibT_eX]

[DOI]

Proceedings of the COLT 2010, 2010

2009

Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity

[BibT_eX]

[DOI]

CoRR, 2009

Good learners for evil teachers.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learnability and Stability in the General Learning Setting.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

The Complexity of Improperly Learning Large Margin Halfspaces.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

Vox Populi: Collecting High-Quality Labels from a Crowd.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

2008

On the Reliability of Clustering Stability in the Large Sample Regime.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning to classify with missing and corrupted features.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Model Selection and Stability in k-means Clustering.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

Cluster Stability for Finite Samples.

[BibT_eX]

[DOI]