Mathematics & Optimization

Fishbone Model for Belt Object Deformation RSS 2007 Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NeurIPS 2007 From External to Internal Regret JMLR 2007 General Polynomial Time Decomposition Algorithms JMLR 2007 Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007 Hierarchical Penalization NeurIPS 2007 How SVMs can estimate quantiles and the median NeurIPS 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007 Learning Horn Expressions with LOGAN-H JMLR 2007 Learning the structure of manifolds using random projections NeurIPS 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Mapping Large Loops with a Single Hand-Held Camera RSS 2007 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modeling Natural Sounds with Modulation Cascade Processes NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007