| Scalable Variational Causal Discovery Unconstrained by Acyclicity | Jul 6, 2024 | Causal Discoveryvalid | CodeCode Available | 0 |
| Idiographic Personality Gaussian Process for Psychological Assessment | Jul 6, 2024 | Variational Inference | —Unverified | 0 |
| Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts | Jul 5, 2024 | Variational Inference | CodeCode Available | 0 |
| Neural Probabilistic Logic Learning for Knowledge Graph Reasoning | Jul 4, 2024 | Knowledge GraphsVariational Inference | —Unverified | 0 |
| Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference | Jul 2, 2024 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models | Jun 30, 2024 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Particle Semi-Implicit Variational Inference | Jun 30, 2024 | Variational Inference | CodeCode Available | 0 |
| Time Series Clustering with General State Space Models via Stochastic Variational Inference | Jun 29, 2024 | Clusteringparameter estimation | CodeCode Available | 0 |
| Amplify Graph Learning for Recommendation via Sparsity Completion | Jun 27, 2024 | Collaborative FilteringGraph Learning | —Unverified | 0 |
