Relative Expected Instantaneous Loss Bounds

How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution

ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory

A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

Leave-one-out bounds for kernel methods

Neural Computation

The Robustness of the p-Norm Algorithms

Machine Learning

An information theoretic analysis of maximum likelihood mixture estimation for exponential families

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Clustering with Bregman Divergences

The Journal of Machine Learning Research

A reproducing kernel Hilbert space framework for pairwise time series distances

Proceedings of the 25th international conference on Machine learning

Relational learning via collective matrix factorization

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

A Unified View of Matrix Factorization Models

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

Anomaly detection using manifold embedding and its applications in transportation corridors

Intelligent Data Analysis - Knowledge Discovery from Data Streams