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variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Tractable Approximate Gaussian Inference for Bayesian Neural Networks JMLR 2021
The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021
Multilevel Monte Carlo Variational Inference JMLR 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation NIPS 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
Learning Temporal Point Processes with Intermittent Observations AISTATS 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021
Information Bottleneck Approach to Spatial Attention Learning IJCAI 2021
f-Domain Adversarial Learning: Theory and Algorithms ICML 2021
Modular Self-Supervision for Document-Level Relation Extraction EMNLP 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering CVPR 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph IJCAI 2021
Monte Carlo Filtering Objectives IJCAI 2021
Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021
Unsupervised Bayesian Adaptation of PLDA for Speaker Verification INTERSPEECH 2021
Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021
Empirical Bayes Matrix Factorization JMLR 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NIPS 2021