Bayesian Learning

Plausible Uncertainties for Human Pose Regression ICCV 2023 Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NeurIPS 2023 Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023 Posterior Contraction for Deep Gaussian Process Priors JMLR 2023 Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NeurIPS 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information ICLR 2023 Prediction-Oriented Bayesian Active Learning AISTATS 2023 Probabilistic Debiasing of Scene Graphs CVPR 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates UAI 2023 Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model ACL 2023 Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NeurIPS 2023 Riemannian Laplace approximations for Bayesian neural networks NeurIPS 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Robust and Scalable Bayesian Online Changepoint Detection ICML 2023 Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023 Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR 2023