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Variational Inference

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TitleStatusHype
Scalable Vector Gaussian Information Bottleneck—0
Tractable structured natural gradient descent using local parameterizations—0
Automatic variational inference with cascading flows—0
Bayesian Transformer Language Models for Speech Recognition—0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Structure-preserving Gaussian Process Dynamics—0
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting—0
Spike and slab Bayesian sparse principal component analysis—0
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning—0
Variational Information Bottleneck Model for Accurate Indoor Position Recognition—0
Unitary Approximate Message Passing for Sparse Bayesian Learning—0
NEMR: Network Embedding on Metric of Relation—0
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach—0
Bayesian Inference ForgettingCode0
Efficient Semi-Implicit Variational Inference—0
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way—0
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks—0
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey—0
Markov Chain Monte Carlo Policy Optimization—0
A Tutorial on the Mathematical Model of Single Cell Variational Inference—0
Einstein VI: General and Integrated Stein Variational Inference in NumPyro—0
MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems—0
Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models—0
Variational inference for diffusion modulated Cox processes—0
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
A Tutorial on Sparse Gaussian Processes and Variational Inference—0
On Batch Normalisation for Approximate Bayesian Inference—0
Variational Determinant Estimation with Spherical Normalizing Flows—0
Probabilistic electric load forecasting through Bayesian Mixture Density Networks—0
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization—0
Bayesian Crowdsourcing with Constraints—0
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders—0
Bayesian Learning for Deep Neural Network AdaptationCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Bayesian Neural Ordinary Differential Equations—0
Variational System Identification for Nonlinear State-Space Models—0
Accelerating Continuous Normalizing Flow with Trajectory Polynomial RegularizationCode0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian InferenceCode0
TAN-NTM: Topic Attention Networks for Neural Topic Modeling—0
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering—0
Introducing Routing Uncertainty in Capsule Networks—0
Bidirectional Convolutional Poisson Gamma Dynamical SystemsCode0
Identifying signal and noise structure in neural population activity with Gaussian process factor models—0
Efficient Low Rank Gaussian Variational Inference for Neural NetworksCode0
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
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