Variational Inference

Variational Gaussian processes for linear inverse problems NeurIPS 2023 Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NeurIPS 2023 Variational Inference for Deblending Crowded Starfields JMLR 2023 Variational Inference for Neyman-Scott Processes AISTATS 2023 Variational Inference with Gaussian Score Matching NeurIPS 2023 Variational Information Pursuit for Interpretable Predictions ICLR 2023 Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023 Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023 Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NeurIPS 2023 Variational Open-Domain Question Answering ICML 2023 Vector Quantized Wasserstein Auto-Encoder ICML 2023 vONTSS: vMF based semi-supervised neural topic modeling with optimal transport ACL 2023 Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning ICCV 2023 Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation NeurIPS 2023 Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space MIDL 2023 β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap ICLR 2022 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022 3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces CVPR 2022 ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models ICLR 2022 A Deep Variational Approach to Clustering Survival Data ICLR 2022 A Geometric Perspective on Variational Autoencoders NeurIPS 2022 A Joint Learning Approach for Semi-supervised Neural Topic Modeling ACL 2022 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NeurIPS 2022 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NeurIPS 2022