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Variational Inference

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Showing 2051–2100 of 2274 papers

TitleStatusHype
Amortized Variational Inference: When and Why?Code0
Unifying Variational Inference and PAC-Bayes for Supervised Learning that ScalesCode0
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical studyCode0
A Structured Variational Autoencoder for Contextual Morphological InflectionCode0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastographyCode0
Progressive Neural Network for Multi-Horizon Time Series ForecastingCode0
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionCode0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
Iterative Amortized InferenceCode0
Coupled Variational Recurrent Collaborative FilteringCode0
Iterative Neural Autoregressive Distribution Estimator NADE-kCode0
Iterative Neural Autoregressive Distribution Estimator (NADE-k)Code0
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random FieldCode0
Stochastic Variational InferenceCode0
Universal Boosting Variational InferenceCode0
Learning GPLVM with arbitrary kernels using the unscented transformationCode0
Amortized Variational Deep Q NetworkCode0
A Deep Factorization of Style and Structure in FontsCode0
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic OptimizationCode0
Kernel Continual LearningCode0
Variational Inference on the Boolean Hypercube with the Quantum EntropyCode0
Kernel Semi-Implicit Variational InferenceCode0
Knowing what you know in brain segmentation using Bayesian deep neural networksCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Proximity Variational InferenceCode0
Langevin Autoencoders for Learning Deep Latent Variable ModelsCode0
Variational zero-inflated Gaussian processes with sparse kernelsCode0
Stock Movement Prediction from Tweets and Historical PricesCode0
A Stein variational Newton methodCode0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Pyro: Deep Universal Probabilistic ProgrammingCode0
Bayesian Semi-supervised Learning with Graph Gaussian ProcessesCode0
Stratification of patient trajectories using covariate latent variable modelsCode0
Coupled Variational Bayes via Optimization EmbeddingCode0
Latent Alignment and Variational AttentionCode0
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical DataCode0
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process MixturesCode0
Latent Intention Dialogue ModelsCode0
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy ClassificationCode0
Quantized Variational InferenceCode0
Latent Network Estimation and Variable Selection for Compositional Data via Variational EMCode0
Latent Neural ODEs with Sparse Bayesian Multiple ShootingCode0
Latent SDEs on Homogeneous SpacesCode0
VIREL: A Variational Inference Framework for Reinforcement LearningCode0
Latent variable model for high-dimensional point process with structured missingnessCode0
Copula-like Variational InferenceCode0
Unsupervised Recurrent Neural Network GrammarsCode0
Variational Inference based on Robust DivergencesCode0
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