| Learning Invariances using the Marginal Likelihood | Aug 16, 2018 | Data AugmentationGaussian Processes | —Unverified | 0 |
| Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds | Jul 5, 2018 | DecoderVariational Inference | —Unverified | 0 |
| Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions | Aug 4, 2017 | Variational Inference | —Unverified | 0 |
| Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation | Jan 31, 2023 | Variational Inference | —Unverified | 0 |
| Learning Optimal Filters Using Variational Inference | Jun 26, 2024 | Variational Inference | —Unverified | 0 |
| Learning proposals for sequential importance samplers using reinforced variational inference | Mar 16, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Learning Robot Skills with Temporal Variational Inference | Jun 29, 2020 | Variational Inference | —Unverified | 0 |
| Learning Set Functions with Implicit Differentiation | Dec 15, 2024 | Anomaly DetectionProduct Recommendation | —Unverified | 0 |
| Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels | Dec 1, 2015 | DenoisingGaussian Processes | —Unverified | 0 |
| Learning Supervised Topic Models for Classification and Regression from Crowds | Aug 17, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
