exponential family

Variational Tempering AISTATS 2016 A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015 Expectation Particle Belief Propagation NeurIPS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 Harmonic Exponential Families on Manifolds ICML 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Learning Parametric-Output HMMs with Two Aliased States ICML 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Low Rank Matrix Completion with Exponential Family Noise COLT 2015 Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NeurIPS 2015 The entropic barrier: a simple and optimal universal self-concordant barrier COLT 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Elementary Estimators for Graphical Models NeurIPS 2014 Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Exponential Family Matrix Completion under Structural Constraints ICML 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Nonparametric Bayesian inference on multivariate exponential families NeurIPS 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Annealing between distributions by averaging moments NeurIPS 2013 Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013