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variational bayesian inference

27 papers

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Also known as

VBI

Co-occurring keywords

variational inference (2069) variational bayesian (39) hidden markov model (302) bayesian inference (1907) collapsed variational inference (7) speaker diarization (197) generative model (2892) uncertainty quantification (1393) domain generalization (1522) thompson sampling (237)

Papers

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 NIPS 2024
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization INTERSPEECH 2023
Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
Zero-Shot Logit Adjustment IJCAI 2022
Personalized Federated Learning via Variational Bayesian Inference ICML 2022
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery WACV 2022
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020
Diversified Interactive Recommendation with Implicit Feedback AAAI 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
Bayesian HMM Based x-Vector Clustering for Speaker Diarization INTERSPEECH 2019
Bandit Learning with Implicit Feedback NIPS 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 NIPS 2017
BayesPy: Variational Bayesian Inference in Python JMLR 2016
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NIPS 2016
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
A Bayesian model for identifying hierarchically organised states in neural population activity NIPS 2014
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Logistic Stick-Breaking Process JMLR 2011