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JMLR
2010
192views more  JMLR 2010»
12 years 11 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
JMLR
2010
92views more  JMLR 2010»
12 years 11 months ago
Posterior distributions are computable from predictive distributions
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
Cameron E. Freer, Daniel M. Roy
JMLR
2010
135views more  JMLR 2010»
12 years 11 months ago
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
David Weiss, Benjamin Taskar
JMLR
2010
152views more  JMLR 2010»
12 years 11 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
JMLR
2010
97views more  JMLR 2010»
12 years 11 months ago
Guarantees for Approximate Incremental SVMs
Nicolas Usunier, Antoine Bordes, Léon Botto...
JMLR
2010
87views more  JMLR 2010»
12 years 11 months ago
Boosted Optimization for Network Classification
Timothy Hancock, Hiroshi Mamitsuka
JMLR
2010
106views more  JMLR 2010»
12 years 11 months ago
Improving posterior marginal approximations in latent Gaussian models
We consider the problem of correcting the posterior marginal approximations computed by expectation propagation and Laplace approximation in latent Gaussian models and propose cor...
Botond Cseke, Tom Heskes
JMLR
2010
101views more  JMLR 2010»
12 years 11 months ago
Efficient Reductions for Imitation Learning
Imitation Learning, while applied successfully on many large real-world problems, is typically addressed as a standard supervised learning problem, where it is assumed the trainin...
Stéphane Ross, Drew Bagnell
JMLR
2010
100views more  JMLR 2010»
12 years 11 months ago
Discriminative Topic Segmentation of Text and Speech
We explore automated discovery of topicallycoherent segments in speech or text sequences. We give two new discriminative topic segmentation algorithms which employ a new measure o...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
JMLR
2010
161views more  JMLR 2010»
12 years 11 months ago
Empirical Bernstein Boosting
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
Pannagadatta K. Shivaswamy, Tony Jebara