linear programming

Lifted Linear Programming AISTATS 2012 Max-Margin Ratio Machine ACML 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Load Balancing for Mobility-on-Demand Systems RSS 2011 Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011 Approximate Tree Kernels JMLR 2010 Efficient Algorithms for Conditional Independence Inference JMLR 2010 High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010 Learning Bayesian Network Structure using LP Relaxations AISTATS 2010 Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes JMLR 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 An LP View of the M-best MAP problem NeurIPS 2009 A Smoothed Approximate Linear Program NeurIPS 2009 Clustering via LP-based Stabilities NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Knowledge-Based Kernel Approximation JMLR 2004 Minimal Kernel Classifiers JMLR 2002