| Tomography of the London Underground: a Scalable Model for Origin-Destination Data | Dec 1, 2017 | Variational Inference | —Unverified | 0 | 0 |
| A Personalized Dialogue Generator with Implicit User Persona Detection | Apr 15, 2022 | Variational Inference | —Unverified | 0 | 0 |
| Towards Effective and Robust Neural Trojan Defenses via Input Filtering | Feb 24, 2022 | Data Compressioninput filtering | —Unverified | 0 | 0 |
| Towards Improved Learning in Gaussian Processes: The Best of Two Worlds | Nov 11, 2022 | Binary ClassificationGaussian Processes | —Unverified | 0 | 0 |
| Towards Improved Variational Inference for Deep Bayesian Models | Jan 23, 2024 | Gaussian ProcessesModel Selection | —Unverified | 0 | 0 |
| Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients | Mar 9, 2020 | validVariational Inference | —Unverified | 0 | 0 |
| Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior | Sep 5, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Towards the TopMost: A Topic Modeling System Toolkit | Sep 13, 2023 | Topic ModelsVariational Inference | —Unverified | 0 | 0 |
| Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent | May 23, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Tracking disease outbreaks from sparse data with Bayesian inference | Sep 12, 2020 | Bayesian InferenceEpidemiology | —Unverified | 0 | 0 |
