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COLT
1992
Springer
14 years 3 months ago
Dominating Distributions and Learnability
We consider PAC-learning where the distribution is known to the student. The problem addressed here is characterizing when learnability with respect to distribution D1 implies lea...
Gyora M. Benedek, Alon Itai
ALT
2005
Springer
14 years 8 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter
ALT
2010
Springer
14 years 21 days ago
Distribution-Dependent PAC-Bayes Priors
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
Guy Lever, François Laviolette, John Shawe-...
COLT
2007
Springer
14 years 5 months ago
On-Line Estimation with the Multivariate Gaussian Distribution
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...
Sanjoy Dasgupta, Daniel Hsu
COLT
2008
Springer
14 years 28 days ago
Time Varying Undirected Graphs
Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using 1 penalization methods. However, current m...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman