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Variational Inference

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Showing 1801–1850 of 2274 papers

TitleStatusHype
Factorized Fusion Shrinkage for Dynamic Relational DataCode0
Automatic differentiation is no panacea for phylogenetic gradient computationCode0
Differentiable Random Partition ModelsCode0
OCEAN: Online Task Inference for Compositional Tasks with Context AdaptationCode0
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process ModelCode0
Variational Sequential Monte CarloCode0
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational InferenceCode0
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in AdamCode0
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian ProcessesCode0
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsCode0
Automated Creative Optimization for E-Commerce AdvertisingCode0
An Unsupervised Bayesian Neural Network for Truth Discovery in Social NetworksCode0
Tractable Function-Space Variational Inference in Bayesian Neural NetworksCode0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Sequential Function-Space Variational Inference via Gaussian Mixture ApproximationCode0
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class ClassificationCode0
Online Estimation and Community Detection of Network Point Processes for Event StreamsCode0
Fast Non-Bayesian Poisson Factorization for Implicit-Feedback RecommendationsCode0
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational InferenceCode0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Sequential Neural Models with Stochastic LayersCode0
Variational Information Maximisation for Intrinsically Motivated Reinforcement LearningCode0
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process ModelsCode0
Online Variational Sequential Monte CarloCode0
Training Bayesian Neural Networks with Sparse Subspace Variational InferenceCode0
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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