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exponential family

124 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) graphical model (864) parameter estimation (274) bregman divergence (81) exponential families (16) kernel methods (1097) maximum likelihood (255) convex optimization (1321) score matching (97)

Papers

Generalized Score Matching for Non-Negative Data JMLR 2019
Exponential Family Estimation via Adversarial Dynamics Embedding NIPS 2019
Collective Matrix Completion JMLR 2019
Non-Asymptotic Pure Exploration by Solving Games NIPS 2019
Sample complexity of partition identification using multi-armed bandits COLT 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations ICML 2019
Provable Gaussian Embedding with One Observation NIPS 2018
On Semiparametric Exponential Family Graphical Models JMLR 2018
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
Differentially Private Bayesian Inference for Exponential Families NIPS 2018
Kernel Conditional Exponential Family AISTATS 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
f-GANs in an Information Geometric Nutshell NIPS 2017
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis EACL 2017
Information-theoretic limits of Bayesian network structure learning AISTATS 2017
Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017
Density Estimation in Infinite Dimensional Exponential Families JMLR 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Boundary Crossing for General Exponential Families ALT 2017
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities NIPS 2017
Renyi Differential Privacy Mechanisms for Posterior Sampling NIPS 2017
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016