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Regularization

139 papers

Papers per year

3
2
20
6
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Papers

Shaping Level Sets with Submodular Functions NIPS 2011
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NIPS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Adaptive Regularization of Weight Vectors NIPS 2009
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers NIPS 2009
Boosting with Spatial Regularization NIPS 2009
Regularized Learning with Networks of Features NIPS 2008
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NIPS 2008
Bundle Methods for Machine Learning NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006