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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

Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model CVPR 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation ICML 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NIPS 2023
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023
Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023
Generative Semantic Segmentation CVPR 2023
Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023
A theory of continuous generative flow networks ICML 2023
Structured Cooperative Learning with Graphical Model Priors ICML 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023
Learning to Abstract with Nonparametric Variational Information Bottleneck EMNLP 2023
Transport Elliptical Slice Sampling AISTATS 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition ACL 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023