| Variational Latent Branching Model for Off-Policy Evaluation | Jan 28, 2023 | modelOff-policy evaluation | CodeCode Available | 0 |
| Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates | Jan 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Neural Dynamic Focused Topic Model | Jan 26, 2023 | modelTopic Models | CodeCode Available | 0 |
| Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective | Jan 25, 2023 | Graph Neural NetworkVariational Inference | —Unverified | 0 |
| Towards Flexibility and Interpretability of Gaussian Process State-Space Model | Jan 21, 2023 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Projective Integral Updates for High-Dimensional Variational Inference | Jan 20, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition | Jan 16, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes | Jan 12, 2023 | ClusteringCommunity Detection | —Unverified | 0 |
| Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing | Jan 9, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 0 |
