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empirical baye

44 papers

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EB

Co-occurring keywords

bayesian inference (1907) variational inference (2069) uncertainty quantification (1393) matrix factorization (529) variational autoencoder (1288) bayesian meta-learning (17) dirichlet prior (20) neural network (6616) spike train (28) inverse problem (240)

Papers

Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Neural Empirical Bayes JMLR 2019
Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019
Fast Automatic Smoothing for Generalized Additive Models JMLR 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019
Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Black Box FDR ICML 2018
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Scalable geometric density estimation AISTATS 2016
An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016
Information-based learning by agents in unbounded state spaces NIPS 2014
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification JMLR 2009
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NIPS 2006