variational baye

Generative Bayesian Inference with GANs JMLR 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Connecting Federated ADMM to Bayes ICLR 2025 Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables ICML 2025 Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025 Latent Thought Models with Variational Bayes Inference-Time Computation ICML 2025 Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation UAI 2025 Bayesian Online Natural Gradient (BONG) NeurIPS 2024 Low-rank Variational Bayes correction to the Laplace method JMLR 2024 Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023 Variational Gaussian processes for linear inverse problems NeurIPS 2023 Contraction rates for sparse variational approximations in Gaussian process regression JMLR 2022 Bayesian Structural Adaptation for Continual Learning ICML 2021 DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders ICCV 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Unsupervised Bayesian Adaptation of PLDA for Speaker Verification Interspeech 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Auto-Encoding Variational Bayes for Inferring Topics and Visualization COLING 2020 Bayesian Hierarchical Words Representation Learning ACL 2020 Capsule Routing via Variational Bayes AAAI 2020 Quantile Graphical Models: a Bayesian Approach JMLR 2020 Spike and slab variational Bayes for high dimensional logistic regression NeurIPS 2020 Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020 A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019 LEAP Diarization System for the Second DIHARD Challenge Interspeech 2019