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JMLR
2010
158views more  JMLR 2010»
15 years 1 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
JMLR
2010
91views more  JMLR 2010»
15 years 1 months ago
Composite Binary Losses
We study losses for binary classification and class probability estimation and extend the understanding of them from margin losses to general composite losses which are the compos...
Mark D. Reid, Robert C. Williamson
JMLR
2010
206views more  JMLR 2010»
15 years 1 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
JMLR
2010
105views more  JMLR 2010»
15 years 1 months ago
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
JMLR
2010
165views more  JMLR 2010»
15 years 1 months ago
Causal Inference
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
Judea Pearl
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