bayesian neural network

Function Space Bayesian Pseudocoreset for Bayesian Neural Networks NeurIPS 2023 Hallucinated adversarial control for conservative offline policy evaluation UAI 2023 Implicit Variational Inference for High-Dimensional Posteriors NeurIPS 2023 Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023 Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023 Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023 Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NeurIPS 2023 On permutation symmetries in Bayesian neural network posteriors: a variational perspective NeurIPS 2023 Optimal Transport Model Distributional Robustness NeurIPS 2023 Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023 Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NeurIPS 2023 Riemannian Laplace approximations for Bayesian neural networks NeurIPS 2023 Robustness to corruption in pre-trained Bayesian neural networks ICLR 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling AAAI 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NeurIPS 2022 Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022