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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

Precise Model Benchmarking with Only a Few Observations EMNLP 2024
Optimal score estimation via empirical Bayes smoothing COLT 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
On Truthing Issues in Supervised Classification JMLR 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training NIPS 2024
ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use IJCAI 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023
An Empirical Bayes Framework for Open-Domain Dialogue Generation EMNLP 2023
Empirical bayes approach to truth discovery problems UAI 2022
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach JMLR 2022
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021
Empirical Bayes Matrix Factorization JMLR 2021
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NIPS 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020
Gradient-EM Bayesian Meta-Learning NIPS 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
Extrapolating the profile of a finite population COLT 2020
Learning Neural Networks with Adaptive Regularization NIPS 2019