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Variational Inference

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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
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