Mathematics & Optimization

Forecasting Web Page Views: Methods and Observations JMLR 2008 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008 Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns JMLR 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 Improving Localization Robustness in Monocular SLAM Using a High-Speed Camera RSS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning Balls of Strings from Edit Corrections JMLR 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks JMLR 2008 Linear-Time Computation of Similarity Measures for Sequential Data JMLR 2008 Manifold Learning: The Price of Normalization JMLR 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Metastable Walking on Stochastically Rough Terrain RSS 2008 Mind the Duality Gap: Logarithmic regret algorithms for online optimization NeurIPS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008 Mortal Multi-Armed Bandits NeurIPS 2008