| Learning the joint distribution of two sequences using little or no paired data | Dec 6, 2022 | Variational Inference | —Unverified | 0 |
| Learning to Dequantise with Truncated Flows | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes | Dec 27, 2024 | Gaussian ProcessesGPU | —Unverified | 0 |
| Learning to Learn Dense Gaussian Processes for Few-Shot Learning | Dec 1, 2021 | Few-Shot LearningGaussian Processes | —Unverified | 0 |
| Towards Causal Representation Learning and Deconfounding from Indefinite Data | May 4, 2023 | Causal DiscoveryDisentanglement | —Unverified | 0 |
| Probabilistic Test-Time Generalization by Variational Neighbor-Labeling | Jul 8, 2023 | Domain GeneralizationVariational Inference | —Unverified | 0 |
| Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound | Oct 15, 2024 | Variational Inference | —Unverified | 0 |
| Less Suboptimal Learning and Control in Variational POMDPs | Mar 9, 2021 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models | May 20, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| LIA: Latently Invertible Autoencoder with Adversarial Learning | Sep 25, 2019 | DecoderGenerative Adversarial Network | —Unverified | 0 |