| FEW-SHOTLEARNING WITH WEAK SUPERVISION | Mar 13, 2021 | Meta-LearningVariational Inference | —Unverified | 0 | 0 |
| FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation | Mar 23, 2025 | Semantic SegmentationVariational Inference | —Unverified | 0 | 0 |
| Flat Seeking Bayesian Neural Networks | Feb 6, 2023 | Deep LearningVariational Inference | —Unverified | 0 | 0 |
| Flexible Modeling of Latent Task Structures in Multitask Learning | Jun 27, 2012 | Variational Inference | —Unverified | 0 | 0 |
| Flow-based Recurrent Belief State Learning for POMDPs | May 23, 2022 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering | May 15, 2025 | Variational Inference | —Unverified | 0 | 0 |
| Bayesian evidence estimation from posterior samples with normalizing flows | Apr 18, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Cluster-based Regression using Variational Inference and Applications in Financial Forecasting | May 2, 2022 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| Forward Amortized Inference for Likelihood-Free Variational Marginalization | May 29, 2018 | General ClassificationVariational Inference | —Unverified | 0 | 0 |
| Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space | Apr 10, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Forward χ^2 Divergence Based Variational Importance Sampling | Nov 4, 2023 | parameter estimationVariational Inference | —Unverified | 0 | 0 |
| Foundation Posteriors for Approximate Probabilistic Inference | May 19, 2022 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Frequentist Consistency of Generalized Variational Inference | Dec 10, 2019 | Variational Inference | —Unverified | 0 | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 | 0 |
| From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models | Jun 1, 2020 | Variational Inference | —Unverified | 0 | 0 |
| FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning | Nov 2, 2022 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| Functional Complexity-adaptive Temporal Tensor Decomposition | Feb 10, 2025 | Tensor DecompositionVariational Inference | —Unverified | 0 | 0 |
| Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis | May 24, 2020 | Bayesian InferenceLesion Classification | —Unverified | 0 | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —Unverified | 0 | 0 |
| Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models | Dec 6, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework | Dec 27, 2023 | PositionVariational Inference | —Unverified | 0 | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 | 0 |