variational bayesian inference

Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization AAAI 2026 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization Interspeech 2023 Personalized Federated Learning via Variational Bayesian Inference ICML 2022 Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022 SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery WACV 2022 Variational Model Perturbation for Source-Free Domain Adaptation NeurIPS 2022 Zero-Shot Logit Adjustment IJCAI 2022 A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021 Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021 Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021 Diversified Interactive Recommendation with Implicit Feedback AAAI 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 Online Neural Connectivity Estimation with Noisy Group Testing NeurIPS 2020 Bayesian HMM Based x-Vector Clustering for Speaker Diarization Interspeech 2019 Bandit Learning with Implicit Feedback NeurIPS 2018 Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. Interspeech 2018 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NeurIPS 2017 BayesPy: Variational Bayesian Inference in Python JMLR 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016 Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013