Inference

Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability NeurIPS 2015 Learning with Relaxed Supervision NeurIPS 2015 Maximum Persistency via Iterative Relaxed Inference With Graphical Models CVPR 2015 Message Passing for Collective Graphical Models ICML 2015 Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models NeurIPS 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Clamping Variables and Approximate Inference NeurIPS 2014 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning Stochastic Inverses NeurIPS 2013 Learning the Structure of Sum-Product Networks ICML 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 Learning unbelievable probabilities NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials JMLR 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Structured Determinantal Point Processes NeurIPS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009