| A trust-region method for stochastic variational inference with applications to streaming data | May 28, 2015 | SensitivityVariational Inference | —Unverified | 0 |
| Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting | May 24, 2023 | LEMMAVariational Inference | —Unverified | 0 |
| Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification | Aug 18, 2024 | Classificationimage-classification | —Unverified | 0 |
| Blind Image Denoising via Dependent Dirichlet Process Tree | Jan 13, 2016 | DenoisingImage Denoising | —Unverified | 0 |
| Cold Posteriors through PAC-Bayes | Jun 22, 2022 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 |
| Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network | Jun 1, 2021 | ImputationMissing Values | —Unverified | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Collapsed variational Bayes for Markov jump processes | Dec 1, 2017 | Variational Inference | —Unverified | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 |
