| Extreme Stochastic Variational Inference: Distributed and Asynchronous | May 31, 2016 | Variational Inference | —Unverified | 0 |
| Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey | Jan 4, 2021 | DecoderDimensionality Reduction | —Unverified | 0 |
| Factor Analysis with Correlated Topic Model for Multi-Modal Data | Apr 26, 2025 | Variational Inference | —Unverified | 0 |
| Factored expectation propagation for input-output FHMM models in systems biology | May 17, 2013 | Variational Inference | —Unverified | 0 |
| Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints | Sep 20, 2020 | Variational Inference | —Unverified | 0 |
| A Sparse and Adaptive Prior for Time-Dependent Model Parameters | Oct 9, 2013 | Variational Inference | —Unverified | 0 |
| Fair Inference for Discrete Latent Variable Models | Sep 15, 2022 | FairnessRepresentation Learning | —Unverified | 0 |
| Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space | Apr 10, 2023 | Variational Inference | —Unverified | 0 |
| Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility | Jun 16, 2022 | Variational Inference | —Unverified | 0 |
| DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements | Nov 12, 2013 | Tensor DecompositionVariational Inference | —Unverified | 0 |
