exponential family

Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Generalised Coupled Tensor Factorisation NeurIPS 2011 Generative Kernels for Exponential Families AISTATS 2011 Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation COLT 2011 t-divergence Based Approximate Inference NeurIPS 2011 Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NeurIPS 2010 Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010 Simple Exponential Family PCA AISTATS 2010 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Bayesian Exponential Family PCA NeurIPS 2008 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Exponential Family Predictive Representations of State NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Learning from Multiple Sources NeurIPS 2006 Clustering with Bregman Divergences JMLR 2005 Probability Product Kernels JMLR 2004