Continuous Optimization

Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Variable Sparsity Kernel Learning JMLR 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010 Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010 An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NeurIPS 2010 A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NeurIPS 2010 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010 Bundle Methods for Regularized Risk Minimization JMLR 2010 Classification Using Geometric Level Sets JMLR 2010 Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010 CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Design and Optimization Strategies for Muscle-Like Direct Drive Linear Permanent Magnet Motors RSS 2010 Distributed Dual Averaging In Networks NeurIPS 2010 Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010 Dynamic Constraint-based Optimal Shape Trajectory Planner for Shape-Accelerated Underactuated Balancing Systems RSS 2010 Efficient Algorithms for Conditional Independence Inference JMLR 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Generalized Power Method for Sparse Principal Component Analysis JMLR 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010 Incremental Sampling-based Algorithms for Optimal Motion Planning RSS 2010