Mathematics & Optimization

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 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 An LP View of the M-best MAP problem NeurIPS 2009 A Parameter-free Hedging Algorithm NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 A Smoothed Approximate Linear Program NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models 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 Beyond Convexity: Online Submodular Minimization NeurIPS 2009 CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning JMLR 2009 Complexity of Decentralized Control: Special Cases NeurIPS 2009 Compositionality of optimal control laws NeurIPS 2009 Compressed Least-Squares Regression NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Data-driven calibration of linear estimators with minimal penalties NeurIPS 2009 Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009 Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009 Directed Regression NeurIPS 2009