convex optimization

Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Volumetric Spanners: an Efficient Exploration Basis for Learning COLT 2014 Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014 Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014 3D Sub-query Expansion for Improving Sketch-Based Multi-view Image Retrieval ICCV 2013 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013 A Convex Optimization Framework for Active Learning ICCV 2013 A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013 Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications ICCV 2013 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013 A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems CVPR 2013 Area Preserving Brain Mapping CVPR 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013 Boosting with the Logistic Loss is Consistent COLT 2013 Bounded Labeling Function for Global Segmentation of Multi-part Objects with Geometric Constraints ICCV 2013 Convex Adversarial Collective Classification ICML 2013 Convex Collective Matrix Factorization AISTATS 2013 Convex formulations of radius-margin based Support Vector Machines ICML 2013 Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures RSS 2013