conftrace_

variational bayesian

39 papers

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Also known as

VB

Co-occurring keywords

variational inference (2069) bayesian inference (1907) variational bayesian inference (27) gaussian process (1200) mixture model (262) bayesian learning (185) non-parametric bayesian (18) speaker diarization (197) probabilistic model (476) topic model (290)

Papers

VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition IJCAI 2024
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization INTERSPEECH 2023
ARTree: A Deep Autoregressive Model for Phylogenetic Inference NIPS 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023
Probabilistic Inference in Reinforcement Learning Done Right NIPS 2023
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022
Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021
Variational Bayesian Reinforcement Learning with Regret Bounds NIPS 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NIPS 2021
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function INTERSPEECH 2019
Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge INTERSPEECH 2018
Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. INTERSPEECH 2018
ShapeOdds: Variational Bayesian Learning of Generative Shape Models CVPR 2017
Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels INTERSPEECH 2017
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015
Revisiting Bayesian Blind Deconvolution JMLR 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NIPS 2013
Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012