| A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options | Nov 13, 2023 | Gaussian ProcessesGPR | —Unverified | 0 |
| PGODE: Towards High-quality System Dynamics Modeling | Nov 11, 2023 | DisentanglementVariational Inference | —Unverified | 0 |
| Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization | Nov 10, 2023 | Variational Inference | —Unverified | 0 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 |
| Neural Structure Learning with Stochastic Differential Equations | Nov 6, 2023 | Variational Inference | —Unverified | 0 |
| Forward χ^2 Divergence Based Variational Importance Sampling | Nov 4, 2023 | parameter estimationVariational Inference | —Unverified | 0 |
| Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks | Nov 4, 2023 | Active LearningDecision Making | CodeCode Available | 0 |
| Disentangled Representation Learning with Transmitted Information Bottleneck | Nov 3, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification | Nov 2, 2023 | Contrastive LearningNode Classification | —Unverified | 0 |
| Rethinking Variational Inference for Probabilistic Programs with Stochastic Support | Nov 1, 2023 | Variational Inference | CodeCode Available | 0 |
