Continuous Optimization

Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006 Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006 Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints RSS 2006 Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Multi-loop Position Analysis via Iterated Linear Programming RSS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Learning from Examples as an Inverse Problem JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Optimal design of robots RSS 2005 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005 Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005 A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 A Robust Minimax Approach to Classification JMLR 2002 Minimal Kernel Classifiers JMLR 2002 Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001