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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization AAAI 2021
GIF Thumbnails: Attract More Clicks to Your Videos AAAI 2021
Composing Normalizing Flows for Inverse Problems ICML 2021
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021
Tractable structured natural-gradient descent using local parameterizations ICML 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021
Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021
Generalized Doubly Reparameterized Gradient Estimators ICML 2021
Automatic variational inference with cascading flows ICML 2021
Deep kernel processes ICML 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection AAAI 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
On the Generative Utility of Cyclic Conditionals NIPS 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
On the Stochastic Stability of Deep Markov Models NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021