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ICML
2010
IEEE
15 years 6 months ago
Generalizing Apprenticeship Learning across Hypothesis Classes
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
Thomas J. Walsh, Kaushik Subramanian, Michael L. L...
135
Voted
ICML
2010
IEEE
15 years 6 months ago
On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning
A learning problem might have several measures of complexity (e.g., norm and dimensionality) that affect the generalization error. What is the interaction between these complexiti...
Percy Liang, Nati Srebro
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 5 months ago
Learning Low-Density Separators
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
Shai Ben-David, Tyler Lu, Dávid Pál,...
CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 5 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik
124
Voted
ML
2008
ACM
15 years 4 months ago
Structured machine learning: the next ten years
Thomas G. Dietterich, Pedro Domingos, Lise Getoor,...