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Variational Inference

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Showing 1101–1150 of 2274 papers

TitleStatusHype
Automatic variational inference with cascading flows—0
Bayesian Transformer Language Models for Speech Recognition—0
Variational Inference for Deblending Crowded StarfieldsCode1
Structure-preserving Gaussian Process Dynamics—0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Deep Deterministic Information Bottleneck with Matrix-based Entropy FunctionalCode1
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
Preconditioned training of normalizing flows for variational inference in inverse problemsCode1
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural NetworksCode1
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
Markov Chain Monte Carlo Policy Optimization—0
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey—0
A Tutorial on the Mathematical Model of Single Cell Variational Inference—0
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
Einstein VI: General and Integrated Stein Variational Inference in NumPyro—0
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-LearningCode1
Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Discovering Autoregressive Orderings with Variational InferenceCode1
Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Variational inference for diffusion modulated Cox processes—0
Bidirectional Variational Inference for Non-Autoregressive Text-to-SpeechCode1
MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems—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
Improving model calibration with accuracy versus uncertainty optimizationCode0
Bayesian Learning for Deep Neural Network AdaptationCode0
Bayesian Neural Ordinary Differential Equations—0
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex OptimizationCode1
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Variational System Identification for Nonlinear State-Space Models—0
Accelerating Continuous Normalizing Flow with Trajectory Polynomial RegularizationCode0
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian InferenceCode0
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