Optimization

Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training JMLR 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Information-theoretic lower bounds on the oracle complexity of convex optimization NeurIPS 2009 Lattice Regression NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning Non-Linear Combinations of Kernels NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Learning with Compressible Priors NeurIPS 2009 Locality-sensitive binary codes from shift-invariant kernels NeurIPS 2009 Local Rules for Global MAP: When Do They Work ? NeurIPS 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Maximin affinity learning of image segmentation NeurIPS 2009 Maximum likelihood trajectories for continuous-time Markov chains NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 Nieme: Large-Scale Energy-Based Models JMLR 2009 Noisy Generalized Binary Search NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 On Learning Rotations NeurIPS 2009 Online Learning with Sample Path Constraints JMLR 2009 On Stochastic and Worst-case Models for Investing NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 On the Convergence of the Concave-Convex Procedure NeurIPS 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009