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Variational Inference

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Showing 1426–1450 of 2274 papers

TitleStatusHype
Stochastic Normalizing Flows—0
Deep Gaussian Markov Random FieldsCode0
Large Scale Tensor Regression using Kernels and Variational Inference—0
Cross-modal variational inference for bijective signal-symbol translation—0
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations—0
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks—0
Gaussian Variational State Estimation for Nonlinear State-Space Models—0
Conditional Deep Gaussian Processes: multi-fidelity kernel learningCode0
Automatic structured variational inferenceCode0
An Equivalence between Bayesian Priors and Penalties in Variational Inference—0
On Implicit Regularization in β-VAEs—0
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views—0
Multivariate Gaussian Variational Inference by Natural Gradient Descent—0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methodsCode0
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric ModelsCode0
Lifted Hybrid Variational InferenceCode0
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering—0
Variational Inference for Sequential Data with Future Likelihood Estimates—0
Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations—0
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference—0
On Implicit Regularization in -VAEs—0
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference—0
Variational Label Enhancement—0
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics—0
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