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Continuous Optimization

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Papers

Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012
Smoothing Multivariate Performance Measures JMLR 2012
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012
Sampling Methods for the Nyström Method JMLR 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
Minimax Manifold Estimation JMLR 2012
Structured Sparsity via Alternating Direction Methods JMLR 2012
glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012
Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices JMLR 2012
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012
Regularized Bundle Methods for Convex and Non-Convex Risks JMLR 2012
Affine trajectory deformation for redundant manipulators RSS 2012
On the Structure of Nonlinearities in Pose Graph SLAM RSS 2012
Efficient Hypergraph Clustering AISTATS 2012
Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012
Distance Metric Learning with Eigenvalue Optimization JMLR 2012
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011
Can matrix coherence be efficiently and accurately estimated? AISTATS 2011
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011
A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems AISTATS 2011
Semi-supervised Learning by Higher Order Regularization AISTATS 2011