Sparse Learning

Robust Lasso with missing and grossly corrupted observations NeurIPS 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011 A Regularization Approach to Nonlinear Variable Selection AISTATS 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 The LASSO risk: asymptotic results and real world examples NeurIPS 2010 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 No evidence for active sparsification in the visual cortex NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009