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

A Flexible Diffusion Model ICML 2023

A theory of representation learning gives a deep generalisation of kernel methods ICML 2023

Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023

Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023

Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023

Neural Dynamic Focused Topic Model AAAI 2023

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition ACL 2023

Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference ICML 2023

Learning to Abstract with Nonparametric Variational Information Bottleneck EMNLP 2023

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023

Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023

Compositional Score Modeling for Simulation-Based Inference ICML 2023

Interactive Segmentation As Gaussion Process Classification CVPR 2023

Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023

Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023

BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023

Boosting Summarization with Normalizing Flows and Aggressive Training EMNLP 2023

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023

Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023

Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023

Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation ICML 2023