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Št. zadetkov: 6
Sample Complexity Bounds for Differentially Private Learning
Daniel Hsu
Video in druga učna gradiva
Oznake: computer science;machine learning;supervised learning
We study the problem of privacy-preserving classification – namely, learning a classifier from sensitive data, while still preserving the privacy of individuals in the training set. In particular, we require that our learning algorithm guarantees differential privacy, a very strong notion of privacy ...
Leto: 2011 Vir: videolectures.net
Hierarchical sampling for active learning
Daniel Hsu
Video in druga učna gradiva
Oznake: computer science;machine learning;active learning
We present an active learning scheme that exploits cluster structure in data.
Leto: 2008 Vir: videolectures.net
A Spectral Algorithm for Latent Dirichlet Allocation
Daniel Hsu
Video in druga učna gradiva
Oznake: computer science;machine learning;unsupervised learning;semi-supervised learning
Topic modeling is a generalization of clustering that posits that observations (words in a document) are generated by \emph{multiple} latent factors (topics), as opposed to just one. This increased representational power comes at the cost of a more challenging unsupervised learning problem of estima ...
Leto: 2012 Vir: videolectures.net
Multi-Label Prediction via Compressed Sensing
Daniel Hsu
Video in druga učna gradiva
Oznake: computer science;machine learning;neural networks;regression
We consider multi-label prediction problems with large output spaces under the assumption of output sparsity - that the target (label) vectors have small support. We develop a general theory for a variant of the popular error correcting output code scheme, using ideas from compressed sensing for exp ...
Leto: 2009 Vir: videolectures.net
Efficient algorithms for estimating multi-view mixture models
Daniel Hsu
Video in druga učna gradiva
Oznake:
Mixture models are a staple in machine learning and applied statistics for treating data taken from multiple sub-populations. For many classes of mixture models, parameter estimation is computationally and/or information-theoretically hard in general. However, much progress has been made over the p ...
Leto: 2012 Vir: videolectures.net
Vowpal Wabbit
John Langford , Nikos Karampatziakis , Daniel Hsu , Matt Hoffman
Video in druga učna gradiva
Oznake: computer science;machine learning;computational learning theory
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 6
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