conftrace_

prior distribution

61 papers

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Co-occurring keywords

bayesian inference (1907) variational autoencoder (1288) posterior distribution (259) generative model (2892) uncertainty quantification (1393) pac-bayes bound (53) latent space (854) bayesian neural network (201) gaussian process (1200) variational inference (2069)

Papers

The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021
Flexible Prior Elicitation via the Prior Predictive Distribution UAI 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020
PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020
Learning to Select Knowledge for Response Generation in Dialog Systems IJCAI 2019
Variational Autoencoder with Implicit Optimal Priors AAAI 2019
Word Embedding as Maximum A Posteriori Estimation AAAI 2019
Towards Zero-shot Language Modeling IJCNLP 2019
Towards Zero-shot Language Modeling EMNLP 2019
Resampled Priors for Variational Autoencoders AISTATS 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NIPS 2019
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning CVPR 2018
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory ICML 2018
Stochastic Video Generation with a Learned Prior ICML 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering CVPR 2018
A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017
Post-Inference Prior Swapping ICML 2017
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
A Framework for Testing Identifiability of Bayesian Models of Perception NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013