bayesian neural network

Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 Variational Bayesian Pseudo-Coreset ICLR 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 When narrower is better: the narrow width limit of Bayesian parallel branching neural networks ICLR 2025 A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings NeurIPS 2024 An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 A Study of Bayesian Neural Network Surrogates for Bayesian Optimization ICLR 2024 A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ICLR 2024 Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning UAI 2024 Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes ICLR 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 Functional Wasserstein Variational Policy Optimization UAI 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NeurIPS 2024 Learning to Explore for Stochastic Gradient MCMC ICML 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024