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» On the Complexity of Approximating the VC Dimension
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TSP
2008
69views more  TSP 2008»
14 years 9 months ago
A Frame Construction and a Universal Distortion Bound for Sparse Representations
Abstract-- We consider approximations of signals by the elements of a frame in a complex vector space of dimension N and formulate both the noiseless and the noisy sparse represent...
Mehmet Akçakaya, Vahid Tarokh
100
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COLT
2010
Springer
14 years 7 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
SIAMNUM
2011
124views more  SIAMNUM 2011»
14 years 4 months ago
Discrete Compactness for the p-Version of Discrete Differential Forms
In this paper we prove the discrete compactness property for a wide class of p finite element approximations of non-elliptic variational eigenvalue problems in two and three spac...
Daniele Boffi, Martin Costabel, Monique Dauge, Les...
110
Voted
TSP
2011
230views more  TSP 2011»
14 years 4 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
JMLR
2010
147views more  JMLR 2010»
14 years 4 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani