| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 |
| Blind Channel Estimation for MIMO Systems via Variational Inference | Nov 16, 2021 | Variational Inference | —Unverified | 0 |
| Amortized Context Vector Inference for Sequence-to-Sequence Networks | May 23, 2018 | Document SummarizationVariational Inference | —Unverified | 0 |
| A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds | Jan 25, 2016 | Active Learningparameter estimation | —Unverified | 0 |
| ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models | Jun 23, 2021 | Density EstimationVariational Inference | —Unverified | 0 |
| Confidence Estimation via Sequential Likelihood Mixing | Feb 20, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 |
| Connection Discovery using Shared Images by Gaussian Relational Topic Model | Dec 12, 2016 | MarketingVariational Inference | —Unverified | 0 |
| Deep kernel processes | Oct 4, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models | Sep 20, 2023 | DenoisingEfficient Neural Network | —Unverified | 0 |
