Co-occurring keywords · papers mentioning both
Papers
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
ICML 2021
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021
High Dimensional Level Set Estimation with Bayesian Neural Network
AAAI 2021
Improving predictions of Bayesian neural nets via local linearization
AISTATS 2021
Infinite Time Horizon Safety of Bayesian Neural Networks
NeurIPS 2021
Latent Derivative Bayesian Last Layer Networks
AISTATS 2021
Learnable uncertainty under Laplace approximations
UAI 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection
CVPR 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
NeurIPS 2021
On the effects of quantisation on model uncertainty in Bayesian neural networks
UAI 2021
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
ICML 2021
Periodic Activation Functions Induce Stationarity
NeurIPS 2021
Post-hoc loss-calibration for Bayesian neural networks
UAI 2021
Precise characterization of the prior predictive distribution of deep ReLU networks
NeurIPS 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization
CVPR 2021
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting
UAI 2021
Simple and Effective Stochastic Neural Networks
AAAI 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
NeurIPS 2021
Streaming Bayesian Deep Tensor Factorization
ICML 2021
Structured Dropout Variational Inference for Bayesian Neural Networks
NeurIPS 2021
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks
JMLR 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
JMLR 2021
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
AISTATS 2021
Vector Quantized Bayesian Neural Network Inference for Data Streams
AAAI 2021
What Are Bayesian Neural Network Posteriors Really Like?
ICML 2021