map estimation

Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Improved Moves for Truncated Convex Models JMLR 2011 MAP Estimation for Graphical Models by Likelihood Maximization NeurIPS 2010 MAP estimation in Binary MRFs via Bipartite Multi-cuts NeurIPS 2010 An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 Differentiable Sparse Coding NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields NeurIPS 2006 Change Point Problems in Linear Dynamical Systems JMLR 2005