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Variational Inference

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TitleStatusHype
An information field theory approach to Bayesian state and parameter estimation in dynamical systemsCode1
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient DescentCode1
Confidence-aware Personalized Federated Learning via Variational Expectation MaximizationCode1
Bayesian Confidence Calibration for Epistemic Uncertainty ModellingCode1
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex OptimizationCode1
Deep Stochastic Volatility ModelCode1
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flowsCode1
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Constraining Variational Inference with Geometric Jensen-Shannon DivergenceCode1
Continual Learning via Sequential Function-Space Variational InferenceCode1
Continuous-Time Deep Glioma Growth ModelsCode1
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor CriticCode1
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningCode1
Adversarial AutoencodersCode1
Analog Bayesian neural networks are insensitive to the shape of the weight distribution—0
A Variational Perspective on Generative Flow Networks—0
Challenges and Opportunities in High Dimensional Variational Inference—0
A variational inference framework for inverse problems—0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Challenges and Pitfalls of Bayesian Unlearning—0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
A Variational Dirichlet Framework for Out-of-Distribution Detection—0
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression—0
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
ADMM-based Networked Stochastic Variational Inference—0
Challenges and Opportunities in High-dimensional Variational Inference—0
Challenges for BBVI with Normalizing Flows—0
A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies—0
Amortized Variational Inference: A Systematic Review—0
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI—0
A Variational Analysis of Stochastic Gradient Algorithms—0
A Variant of Gaussian Process Dynamical Systems—0
Amortized Variational Inference for Simple Hierarchical Models—0
Celeste: Variational inference for a generative model of astronomical images—0
Amortized Variational Inference for Deep Gaussian Processes—0
Autoregressive Speech Synthesis without Vector Quantization—0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data—0
Automorphism Groups of Graphical Models and Lifted Variational Inference—0
Automatic variational inference with cascading flows—0
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism—0
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference—0
Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences—0
Automatic Variational Inference in Stan—0
Automatic Variational ABC—0
Automatic Relevance Determination For Deep Generative Models—0
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