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Ben-David, Shai - School of Computer Science, University of Waterloo
NONPARAMETRIC CHANGE DETECTION IN 2D RANDOM SENSOR FIELD Ting He, Shai Ben-David, and Lang Tong
Learning Low-Density Separators Eligible for E.M. Gold Award (Tyler Lu, David Pal, Miroslava Sotakova).
Stability of k-Means Clustering Shai Ben-David1
Alternative Measures of Computational Complexity
Shai Ben-David University of Waterloo, Canada
Learning Bounds for Support Vector Machines with Learned Kernels
A Sober Look at Clustering Stability Shai Ben-David1
Which Data Sets are `Clusterable'? A Theoretical Study of Clusterability
Analysis of Representations for Domain Adaptation Shai Ben-David
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
Relating clustering stability to properties of cluster boundaries Shai Ben-David
Modeling and Querying Possible Repairs in Duplicate George Beskales Mohamed A. Soliman Ihab F. Ilyas Shai Ben-David
A Notion of Task Relatedness Yielding Provable Multiple-Task Learning Guarantees
1 Data Representation Framework Addressing the Training/Test Distributions Gap
A Framework for Statistical Clustering with Constant Time Approximation Algorithms for
Towards a Statistical Theory of Clustering Ulrike von Luxburg1
A Framework for Statistical Clustering with a Constant Time Approximation Algorithms for
Shai Ben-David University of Waterloo, Canada
Machine Learning Statistical and Computational Foundations Lecturer: Shai Ben-David
CS489 Winter07 Lectures 2 and 3 (the technical content)
Detecting Change in Data Streams Shai Ben-David, Johannes Gehrke, Daniel Kifer