exponential family

Universal Boosting Variational Inference NeurIPS 2019 Differentially Private Bayesian Inference for Exponential Families NeurIPS 2018 Efficient and principled score estimation with Nyström kernel exponential families AISTATS 2018 Graphical Models for Non-Negative Data Using Generalized Score Matching AISTATS 2018 Kernel Conditional Exponential Family AISTATS 2018 On Semiparametric Exponential Family Graphical Models JMLR 2018 Provable Gaussian Embedding with One Observation NeurIPS 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 Boundary Crossing for General Exponential Families ALT 2017 Density Estimation in Infinite Dimensional Exponential Families JMLR 2017 Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017 Expectation Propagation for t-Exponential Family Using q-Algebra NeurIPS 2017 Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis EACL 2017 f-GANs in an Information Geometric Nutshell NeurIPS 2017 Information-theoretic limits of Bayesian network structure learning AISTATS 2017 Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities NeurIPS 2017 Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NeurIPS 2016 Exponential Family Embeddings NeurIPS 2016 Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016 Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NeurIPS 2016 Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016 Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016 Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures AISTATS 2016