| Slow Kill for Big Data Learning | May 2, 2023 | parameter estimationVariable Selection | —Unverified | 0 | 0 |
| Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models | Dec 14, 2020 | PAC learningparameter estimation | —Unverified | 0 | 0 |
| SMIXS: Novel efficient algorithm for non-parametric mixture regression-based clustering | Sep 19, 2022 | Clusteringparameter estimation | —Unverified | 0 | 0 |
| Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo | Mar 27, 2019 | Dimensionality Reductionparameter estimation | —Unverified | 0 | 0 |
| Smoothing parameter estimation framework for IBM word alignment models | Jan 14, 2016 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Solution Path of Time-varying Markov Random Fields with Discrete Regularization | Jul 25, 2023 | parameter estimation | —Unverified | 0 | 0 |
| Solving Differential Equations Using Neural Network Solution Bundles | Jun 17, 2020 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| Solving High-dimensional Inverse Problems Using Amortized Likelihood-free Inference with Noisy and Incomplete Data | Dec 5, 2024 | Data Compressionparameter estimation | —Unverified | 0 | 0 |
| Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary | Jul 16, 2021 | parameter estimation | —Unverified | 0 | 0 |
| Solving Non-identifiable Latent Feature Models | Sep 11, 2018 | parameter estimation | —Unverified | 0 | 0 |
