sparse optimization

Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Sparse projections onto the simplex ICML 2013 The Bigraphical Lasso ICML 2013 Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NeurIPS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 Variable Selection for Gaussian Graphical Models AISTATS 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 Greedy Algorithms for Structurally Constrained High Dimensional Problems NeurIPS 2011 Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NeurIPS 2011 Learning Scale Free Networks by Reweighted ℓ_1 regularization AISTATS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Sparse Manifold Clustering and Embedding NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010