Co-occurring keywords · papers mentioning both
Papers
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
AISTATS 2024
On Feynman-Kac training of partial Bayesian neural networks
AISTATS 2024
Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance
UAI 2024
Reparameterization invariance in approximate Bayesian inference
NeurIPS 2024
Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
ICML 2024
Sampling-Resilient Multi-Object Tracking
AAAI 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
NeurIPS 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
AISTATS 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract)
IJCAI 2024
Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP
UAI 2024
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
ICLR 2024
Variational Bayesian Last Layers
ICLR 2024
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
ICLR 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
NeurIPS 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization
ICCV 2023
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
ICLR 2023
A Targeted Accuracy Diagnostic for Variational Approximations
AISTATS 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
ICML 2023
Bayesian numerical integration with neural networks
UAI 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
ICML 2023
Collapsed Inference for Bayesian Deep Learning
NeurIPS 2023
Deep Variational Implicit Processes
ICLR 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic?
AISTATS 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
AAAI 2023
Flat Seeking Bayesian Neural Networks
NeurIPS 2023