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Variational Inference

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Showing 1301–1350 of 2274 papers

TitleStatusHype
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation—0
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation—0
Deep kernel processes—0
MCMC-Interactive Variational Inference—0
Relaxing the Constraints on Predictive Coding Models—0
Bayesian Policy Search for Stochastic Domains—0
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational AutoencoderCode0
Bayesian Online Meta-Learning—0
f-Divergence Variational Inference—0
Approximate Probabilistic Inference with Composed Flows—0
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition—0
Mixture Representation Learning with Coupled Autoencoding Agents—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
Stein Variational Gaussian ProcessesCode0
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints—0
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes—0
Tracking disease outbreaks from sparse data with Bayesian inference—0
Learning more expressive joint distributions in multimodal variational methodsCode0
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior—0
Online Estimation and Community Detection of Network Point Processes for Event StreamsCode0
Quasi-symplectic Langevin Variational Autoencoder—0
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios—0
Robust, Accurate Stochastic Optimization for Variational Inference—0
Stochastic Graph Recurrent Neural NetworkCode0
Variational Mixture of Normalizing Flows—0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
Modulating Scalable Gaussian Processes for Expressive Statistical LearningCode0
Loss convergence in a causal Bayesian neural network of retail firm performanceCode0
Meta-Learning with Shared Amortized Variational InferenceCode0
Training Multimodal Systems for Classification with Multiple Objectives—0
Improving Fair Predictions Using Variational Inference In Causal ModelsCode0
Multiview Variational Deep Learning with Application to Scalable Indoor Localization—0
Blindness of score-based methods to isolated components and mixing proportions—0
Dual Adversarial Auto-Encoders for Clustering—0
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding—0
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Instance-Aware Graph Convolutional Network for Multi-Label Classification—0
OCEAN: Online Task Inference for Compositional Tasks with Context AdaptationCode0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
Stochastic Bayesian Neural Networks—0
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification—0
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-IdentificationCode0
Approximation Based Variance Reduction for Reparameterization GradientsCode0
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks—0
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning ApproachCode0
Mixture Representation Learning with Coupled Autoencoders—0
GRADE: Graph Dynamic Embedding—0
Measurement error models: from nonparametric methods to deep neural networks—0
VINNAS: Variational Inference-based Neural Network Architecture Search—0
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