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Variational Inference

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Showing 1676–1700 of 2274 papers

TitleStatusHype
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural NetworksCode0
The VampPrior Mixture ModelCode0
Approximation Based Variance Reduction for Reparameterization GradientsCode0
Disentangling Latent Space for VAE by Label Relevant/Irrelevant DimensionsCode0
Multiple Importance Sampling ELBO and Deep Ensembles of Variational ApproximationsCode0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
The Variational Predictive Natural GradientCode0
Variational Inference with Normalizing FlowsCode0
Doubly Reparameterized Gradient Estimators for Monte Carlo ObjectivesCode0
Conditional Deep Gaussian Processes: multi-fidelity kernel learningCode0
Thompson Sampling for High-Dimensional Sparse Linear Contextual BanditsCode0
Doubly Stochastic Variational Inference for Deep Gaussian ProcessesCode0
Variational inference for Monte Carlo objectivesCode0
Thompson Sampling via Local UncertaintyCode0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
Variational Inference with Numerical Derivatives: variance reduction through couplingCode0
Time Series Clustering with General State Space Models via Stochastic Variational InferenceCode0
Narrative Text Generation with a Latent Discrete PlanCode0
DropMax: Adaptive Variational SoftmaxCode0
Dropout Inference in Bayesian Neural Networks with Alpha-divergencesCode0
NASH: Toward End-to-End Neural Architecture for Generative Semantic HashingCode0
Time Series Domain Adaptation via Latent Invariant Causal MechanismCode0
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed ModelsCode0
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-IdentificationCode0
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataCode0
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