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Variational Inference

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Showing 1826–1850 of 2274 papers

TitleStatusHype
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target DistributionCode0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offsCode0
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian ProcessesCode0
On Smoothing and Inference for Topic ModelsCode0
Auto-Encoding Variational Neural Machine TranslationCode0
A Flexible Generative Framework for Graph-based Semi-supervised LearningCode0
On the challenges of learning with inference networks on sparse, high-dimensional dataCode0
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform InversionCode0
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian ProcessesCode0
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric FactorizationCode0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell dataCode0
Single Episode Policy Transfer in Reinforcement LearningCode0
Variational Deep Q NetworkCode0
On the Encoder-Decoder Incompatibility in Variational Text Modeling and BeyondCode0
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural GradientCode0
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-LearningCode0
Training Robust Graph Neural Networks by Modeling Noise DependenciesCode0
Deterministic Variational Inference for Robust Bayesian Neural NetworksCode0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0Code0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
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