probabilistic modeling

Structured Determinantal Point Processes NeurIPS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 Unsupervised Aggregation for Classification Problems with Large Numbers of Categories AISTATS 2010 An LP View of the M-best MAP problem NeurIPS 2009 Bayesian Belief Polarization NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Highly scalable appearance-only SLAM - FAB-MAP 2.0 RSS 2009 Individuation, Identification and Object Discovery NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning with Compressible Priors NeurIPS 2009 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009 Riffled Independence for Ranked Data NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 An ideal observer model of infant object perception NeurIPS 2008 Characterizing response behavior in multisensory perception with conflicting cues NeurIPS 2008