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COLT
2007
Springer
14 years 4 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
COLT
2007
Springer
14 years 4 months ago
Learning Permutations with Exponential Weights
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
David P. Helmbold, Manfred K. Warmuth
COLT
2007
Springer
14 years 4 months ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor
COLT
2007
Springer
14 years 4 months ago
Occam's Hammer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
Gilles Blanchard, François Fleuret
COLT
2007
Springer
14 years 4 months ago
Strategies for Prediction Under Imperfect Monitoring
Abstract. We propose simple randomized strategies for sequential prediction under imperfect monitoring, that is, when the forecaster does not have access to the past outcomes but r...
Gábor Lugosi, Shie Mannor, Gilles Stoltz