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| Sparse Algorithms for Markovian Gaussian Processes | Mar 19, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Probabilistic Simplex Component Analysis | Mar 18, 2021 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise | Mar 15, 2021 | image-classificationImage Classification | —Unverified | 0 |
| FEW-SHOTLEARNING WITH WEAK SUPERVISION | Mar 13, 2021 | Meta-LearningVariational Inference | —Unverified | 0 |
| Variational inference with a quantum computer | Mar 11, 2021 | Variational Inference | —Unverified | 0 |
| A variational inference framework for inverse problems | Mar 10, 2021 | Variational Inference | —Unverified | 0 |
| Less Suboptimal Learning and Control in Variational POMDPs | Mar 9, 2021 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Monotonic Alpha-divergence Minimisation for Variational Inference | Mar 9, 2021 | Variational Inference | —Unverified | 0 |
