Mathematics

A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity JMLR 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Discrete MDL Predicts in Total Variation NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Efficient Moments-based Permutation Tests 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 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Fourier Theoretic Probabilistic Inference over Permutations JMLR 2009 Generalized-ICP RSS 2009 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation 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 Inner sphere trees for proximity and penetration queries RSS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Kernels and learning curves for Gaussian process regression on random graphs NeurIPS 2009 Learning Nondeterministic Classifiers JMLR 2009 Marginal Likelihood Integrals for Mixtures of Independence Models JMLR 2009 Matrix Completion from Noisy Entries NeurIPS 2009