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| Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process | Dec 8, 2018 | Ensemble LearningModel Selection | —Unverified | 0 |
| Infinite Mixture of Inverted Dirichlet Distributions | Jul 27, 2018 | Variational Inference | —Unverified | 0 |
| InfoNCE is variational inference in a recognition parameterised model | Jul 6, 2021 | Bayesian InferenceSelf-Supervised Learning | —Unverified | 0 |
| Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks | Apr 2, 2019 | Variational Inference | —Unverified | 0 |
| Information Field Theory and Artificial Intelligence | Dec 19, 2021 | Variational Inference | —Unverified | 0 |
| Information Theory with Kernel Methods | Feb 17, 2022 | Variational Inference | —Unverified | 0 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification | Nov 17, 2023 | Time SeriesVariational Inference | —Unverified | 0 |
| Injective flows for star-like manifolds | Jun 13, 2024 | Density EstimationVariational Inference | —Unverified | 0 |
| Large Language Bayes | Apr 18, 2025 | Language ModelingLanguage Modelling | —Unverified | 0 |
