Continuous Optimization

Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Efficient Hypergraph Clustering AISTATS 2012 Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices JMLR 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Fast Variational Mode-Seeking AISTATS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 Generic Methods for Optimization-Based Modeling AISTATS 2012 glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Hierarchical Motion Planning in Topological Representations RSS 2012 Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012 Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Lifted Linear Programming AISTATS 2012 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 Minimal Coordinate Formulation of Contact Dynamics in Operational Space RSS 2012 Minimax Manifold Estimation JMLR 2012