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Variational Inference

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TitleStatusHype
Variational Inference for Structured NLP Models—0
Variational Inference for the Nested Chinese Restaurant Process—0
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models—0
Variational Inference in high-dimensional linear regression—0
Variational Inference in Mixed Probabilistic Submodular Models—0
Variational Inference In Pachinko Allocation Machines—0
Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial—0
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians—0
Variational Inference MPC for Bayesian Model-based Reinforcement Learning—0
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection—0
Variational Inference MPC using Tsallis Divergence—0
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations—0
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes—0
Variational inference of latent state sequences using Recurrent Networks—0
Variational Inference of Parameters in Opinion Dynamics Models—0
Variational Inference of Structured Line Spectra Exploiting Group-Sparsity—0
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy—0
Variational Inference over Combinatorial Spaces—0
Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization—0
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes—0
Variational Inference to Measure Model Uncertainty in Deep Neural Networks—0
Variational Inference using Implicit Distributions—0
Variational Inference Using Material Point Method—0
Variational Inference via Upper Bound Minimization—0
Variational Inference via Resolution of Singularities—0
Variational Inference via Smoothed Particle Hydrodynamics—0
Variational Inference via Transformations on Distributions—0
Variational Inference via χ-Upper Bound Minimization—0
Variational inference with a quantum computer—0
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures—0
Variational Inference with Hamiltonian Monte Carlo—0
Variational Inference with Holder Bounds—0
Variational Inference with Locally Enhanced Bounds for Hierarchical Models—0
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation—0
VISA: Variational Inference with Sequential Sample-Average Approximations—0
α-Variational Inference with Statistical Guarantees—0
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding—0
Variational Information Bottleneck Model for Accurate Indoor Position Recognition—0
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions—0
Variational Knowledge Graph Reasoning—0
Variational Label-Correlation Enhancement for Congestion Prediction—0
Variational Label Enhancement—0
Variational Laplace Autoencoders—0
Variational Laplace for Bayesian neural networks—0
Variational latent discrete representation for time series modelling—0
Variational Learning for Recurrent Spiking Networks—0
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization—0
A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)—0
Variational Mixture of Normalizing Flows—0
Variational Network Quantization—0
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