| Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients | Jun 13, 2022 | Variational Inference | CodeCode Available | 0 |
| Robust and Scalable Gaussian Process Regression and Its Applications | Jan 1, 2023 | 4kGaussian Processes | CodeCode Available | 0 |
| Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study | Feb 2, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| vGraph: A Generative Model for Joint Community Detection and Node Representation Learning | Jun 18, 2019 | Community DetectionRepresentation Learning | CodeCode Available | 0 |
| Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning | May 10, 2021 | Image Paragraph CaptioningLanguage Modeling | CodeCode Available | 0 |
| Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks | May 24, 2025 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization | Oct 25, 2023 | Bayesian OptimizationVariational Inference | CodeCode Available | 0 |
| Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo | Jun 7, 2024 | EconometricsVariational Inference | CodeCode Available | 0 |
| Variational Approaches for Auto-Encoding Generative Adversarial Networks | Jun 15, 2017 | Variational Inference | CodeCode Available | 0 |
| Variational Approximation Error in Bayesian Non-negative Matrix Factorization | Sep 9, 2018 | Variational Inference | CodeCode Available | 0 |