andreas-maurer.eu

Andreas Maurer Home Page

A chain rule for the expected suprema of Gaussian processes. An inequality with applications to structured sparsity and multitask dictionary learning. With Massimiliano Pontil and Bernardino Romera-Paredes , COLT 2014. Excess risk bounds for multitask learning with trace norm regularization. With Massimiliano Pontil , COLT 2013. Sparse coding for multitask and transfer learning. With Massimiliano Pontil and Bernardino Romera-Paredes , ICML 2013. Structured sparsity and generalization. The Rademacher Comp...

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A chain rule for the expected suprema of Gaussian processes. An inequality with applications to structured sparsity and multitask dictionary learning. With Massimiliano Pontil and Bernardino Romera-Paredes , COLT 2014. Excess risk bounds for multitask learning with trace norm regularization. With Massimiliano Pontil , COLT 2013. Sparse coding for multitask and transfer learning. With Massimiliano Pontil and Bernardino Romera-Paredes , ICML 2013. Structured sparsity and generalization. The Rademacher Comp...

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Andreas Maurer Home Page | andreas-maurer.eu Reviews

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A chain rule for the expected suprema of Gaussian processes. An inequality with applications to structured sparsity and multitask dictionary learning. With Massimiliano Pontil and Bernardino Romera-Paredes , COLT 2014. Excess risk bounds for multitask learning with trace norm regularization. With Massimiliano Pontil , COLT 2013. Sparse coding for multitask and transfer learning. With Massimiliano Pontil and Bernardino Romera-Paredes , ICML 2013. Structured sparsity and generalization. The Rademacher Comp...

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fragments

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Reports, preprints and fragments. A vector-contraction inequality for Rademacher averages. A tail-bound for sums of independent positive semidefinite random matrices. An optimization problem on the sphere. A Note on the PAC Bayesian Theorem. Concentration Properties of the Eigenvalues of the Gram Matrix. Lower bounds on the distance to low dimensional random subspaces. A Proof of Slepian's Inequality. Majorizing codes and measures. Back to my homepage.

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Similarity Learning

http://www.andreas-maurer.eu/similarity.htm

A shocking example of Andreas Maurers archaic web-design). Suppose that every time you consult a certain oracle it supplies you with a pair (x,x') of objects together with the information if they are similar or not. The idea of similarity learning is to observe the oracle by repeated consultation and to learn to predict for each pair it produces if its members are similar or not. Some of my current work on similarity learning is described in. Here is the executable. Together with some necessary libraries,.

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A chain rule for the expected suprema of Gaussian processes. An inequality with applications to structured sparsity and multitask dictionary learning. With Massimiliano Pontil and Bernardino Romera-Paredes , COLT 2014. Excess risk bounds for multitask learning with trace norm regularization. With Massimiliano Pontil , COLT 2013. Sparse coding for multitask and transfer learning. With Massimiliano Pontil and Bernardino Romera-Paredes , ICML 2013. Structured sparsity and generalization. The Rademacher Comp...

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