← Keywords

variational inference

2069 papers

Explore in graph

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

Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022
Variational Continual Proxy-Anchor for Deep Metric Learning AISTATS 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022
The Infinite Contextual Graph Markov Model ICML 2022
Variational On-the-Fly Personalization ICML 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022
Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows UAI 2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression CVPR 2022
Denoising Diffusion Restoration Models NIPS 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection RSS 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Zero-Shot Logit Adjustment IJCAI 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
Foundation Posteriors for Approximate Probabilistic Inference NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering IJCAI 2022