Sparse Learning

Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Compressed Hashing CVPR 2013 Correlation Adaptive Subspace Segmentation by Trace Lasso ICCV 2013 Dirty Statistical Models NeurIPS 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013 Online Robust Dictionary Learning CVPR 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NeurIPS 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NeurIPS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011