conftrace_

marginal likelihood

75 papers

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Also known as

ML

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) variational inference (2069) model selection (456) laplace approximation (70) bayesian model selection (22) hyperparameter optimization (406) latent variable model (564) graphical model (864) model evidence (13)

Papers

A Hybrid Approximation to the Marginal Likelihood AISTATS 2021
A Bayesian Perspective on Training Speed and Model Selection NIPS 2020
Generalized probabilistic principal component analysis of correlated data JMLR 2020
Biomedical Entity Representations with Synonym Marginalization ACL 2020
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL 2020
Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020
Bayesian Network Model Averaging Classifiers by Subbagging PGM 2020
Fast Automatic Smoothing for Generalized Additive Models JMLR 2019
Improving Quadrature for Constrained Integrands AISTATS 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NIPS 2019
Iterative Search for Weakly Supervised Semantic Parsing NAACL 2019
Variational Rejection Sampling AISTATS 2018
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks ICML 2018
Augment and Reduce: Stochastic Inference for Large Categorical Distributions ICML 2018
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets EMNLP 2018
Learning Invariances using the Marginal Likelihood NIPS 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
End-to-end Neural Coreference Resolution EMNLP 2017
Filtering Variational Objectives NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Model evidence from nonequilibrium simulations NIPS 2017
Convolutional Gaussian Processes NIPS 2017
Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017
Early Stopping as Nonparametric Variational Inference AISTATS 2016