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Papers (including subtopics)

A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 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 Smoothed Approximate Linear Program NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds 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 Convex Relaxation of Mixture Regression with Efficient Algorithms 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 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 DUOL: A Double Updating Approach for Online Learning NeurIPS 2009