| Central Limit Theorem for Bayesian Neural Network trained with Variational Inference | Jun 10, 2024 | Variational Inference | —Unverified | 0 |
| Variational Flow Matching for Graph Generation | Jun 7, 2024 | Graph GenerationVariational Inference | —Unverified | 0 |
| Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo | Jun 7, 2024 | EconometricsVariational Inference | CodeCode Available | 0 |
| Stochastic full waveform inversion with deep generative prior for uncertainty quantification | Jun 7, 2024 | Bayesian InferenceSeismic Imaging | —Unverified | 0 |
| Concurrent Training and Layer Pruning of Deep Neural Networks | Jun 6, 2024 | Variational Inference | —Unverified | 0 |
| Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks | Jun 6, 2024 | Decision MakingOut-of-Distribution Detection | —Unverified | 0 |
| Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning | Jun 6, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Approximation-Aware Bayesian Optimization | Jun 6, 2024 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians | Jun 6, 2024 | Bayesian InferenceLEMMA | —Unverified | 0 |
| You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference | Jun 5, 2024 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
