Mathematics & Optimization

Discrete MDL Predicts in Total Variation NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 DUOL: A Double Updating Approach for Online Learning NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Efficient Moments-based Permutation Tests NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks JMLR 2009 Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods JMLR 2009 Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Fourier Theoretic Probabilistic Inference over Permutations JMLR 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Generalized-ICP RSS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NeurIPS 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Human motion database with a binary tree and node transition graphs RSS 2009