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| Forward Amortized Inference for Likelihood-Free Variational Marginalization | May 29, 2018 | General ClassificationVariational Inference | —Unverified | 0 |
| Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space | Apr 10, 2023 | Variational Inference | —Unverified | 0 |
| Forward χ^2 Divergence Based Variational Importance Sampling | Nov 4, 2023 | parameter estimationVariational Inference | —Unverified | 0 |
| Foundation Posteriors for Approximate Probabilistic Inference | May 19, 2022 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Frequentist Consistency of Generalized Variational Inference | Dec 10, 2019 | Variational Inference | —Unverified | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 |
| From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models | Jun 1, 2020 | Variational Inference | —Unverified | 0 |
| FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning | Nov 2, 2022 | Representation LearningVariational Inference | —Unverified | 0 |
| Functional Complexity-adaptive Temporal Tensor Decomposition | Feb 10, 2025 | Tensor DecompositionVariational Inference | —Unverified | 0 |
