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Variational Inference

767 directly classified papers

Papers per year

Papers

Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023
VaRT: Variational Regression Trees NIPS 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NIPS 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Probabilistic Inference in Reinforcement Learning Done Right NIPS 2023
Conditional Matrix Flows for Gaussian Graphical Models NIPS 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions NIPS 2023
Undirected Probabilistic Model for Tensor Decomposition NIPS 2023
Moment Matching Denoising Gibbs Sampling NIPS 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NIPS 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
Disentangled Representation for Causal Mediation Analysis AAAI 2023
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs EMNLP 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Entropy Estimation via Normalizing Flow AAAI 2022
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification AAAI 2022