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Variational Inference

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Showing 2201–2225 of 2274 papers

TitleStatusHype
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes—0
No-Regret Generative Modeling via Parabolic Monge-Ampère PDE—0
Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery—0
Novel Uncertainty Framework for Deep Learning Ensembles—0
On Batch Normalisation for Approximate Bayesian Inference—0
On Divergence Measures for Training GFlowNets—0
One-class Collaborative Filtering with Random Graphs: Annotated Version—0
One Simple Trick to Fix Your Bayesian Neural Network—0
On Implicit Regularization in -VAEs—0
On Implicit Regularization in β-VAEs—0
Online Adaptor Grammars with Hybrid Inference—0
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling—0
Online Inference for Relation Extraction with a Reduced Feature Set—0
Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems—0
Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization—0
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking—0
On PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature—0
On Representations of Mean-Field Variational Inference—0
On some provably correct cases of variational inference for topic models—0
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes—0
On the Convergence of Black-Box Variational Inference—0
On the Convergence of Coordinate Ascent Variational Inference—0
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models—0
On the Convergence of Stochastic Variational Inference in Bayesian Networks—0
On the detrimental effect of invariances in the likelihood for variational inference—0
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