Mathematics & Optimization

Inferring Network Structure from Co-Occurrences NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints RSS 2006 Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Learning a Hidden Hypergraph JMLR 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006 Linear State-Space Models for Blind Source Separation JMLR 2006 Lower Bounds and Aggregation in Density Estimation JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Max-margin classification of incomplete data NeurIPS 2006 Multi-loop Position Analysis via Iterated Linear Programming RSS 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 Nonnegative Sparse PCA NeurIPS 2006 Nonparametric Quantile Estimation JMLR 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006