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Convex Optimization

589 directly classified papers

Papers per year

Papers

Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Convex Relaxations of Latent Variable Training NIPS 2007
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Ensemble Pruning Via Semi-definite Programming JMLR 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
Learning the Kernel Function via Regularization JMLR 2005
Second Order Cone Programming Formulations for Feature Selection JMLR 2004