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variational inference

2,345 papers

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VI

Co-occurring keywords · papers mentioning both

bayesian inference (359) gaussian process (255) generative model (223) variational autoencoder (171) latent variable model (151) representation learning (109) probabilistic modeling (105) uncertainty quantification (103) bayesian neural network (99) latent variable (96)

Papers

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference AISTATS 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 Accelerating Convergence in Bayesian Few-Shot Classification ICML 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adaptive Robust Learning using Latent Bernoulli Variables ICML 2024 Additive smoothing error in backward variational inference for general state-space models JMLR 2024 A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024 A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing ICML 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 Approximation-Aware Bayesian Optimization NeurIPS 2024 Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families NeurIPS 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024 A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NeurIPS 2024 Batch and match: black-box variational inference with a score-based divergence ICML 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NeurIPS 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ICLR 2024 Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024