conftrace_

bayesian neural network

201 papers

Explore in graph

Also known as

BNN

Co-occurring keywords

variational inference (2069) uncertainty quantification (1393) uncertainty estimation (648) gaussian process (1200) posterior distribution (259) posterior approximation (132) bayesian inference (1907) out-of-distribution detection (617) markov chain monte carlo (725) epistemic uncertainty (160)

Papers

Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023
Optimal Transport Model Distributional Robustness NIPS 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation NIPS 2022
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks INTERSPEECH 2022
Tackling covariate shift with node-based Bayesian neural networks ICML 2022
Function-space Inference with Sparse Implicit Processes ICML 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022
Efficient Online Bayesian Inference for Neural Bandits AISTATS 2022
Structured Stochastic Gradient MCMC ICML 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NIPS 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NIPS 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NIPS 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition AISTATS 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness ICML 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022