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Variational Inference

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TitleStatusHype
Deep Probabilistic Video Compression—0
Deep Probabilistic Programming—0
To Relieve Your Headache of Training an MRF, Take AdVIL—0
Deep Probabilistic Models to Detect Data Poisoning Attacks—0
Fully probabilistic deep models for forward and inverse problems in parametric PDEs—0
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation—0
A Causal Ordering Prior for Unsupervised Representation Learning—0
Lifted Tree-Reweighted Variational Inference—0
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization—0
Deep Poisson Factorization Machines: factor analysis for mapping behaviors in journalist ecosystem—0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models—0
Bayesian calibration of differentiable agent-based models—0
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity—0
Bayesian brains and the Rényi divergence—0
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm—0
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning—0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models—0
Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models—0
Likelihood approximations via Gaussian approximate inference—0
Local Expectation Gradients for Doubly Stochastic Variational Inference—0
Deep kernel processes—0
BayesFormer: Transformer with Uncertainty Estimation—0
Learning to Learn Dense Gaussian Processes for Few-Shot Learning—0
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