| Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings | Feb 26, 2021 | parameter estimation | —Unverified | 0 | 0 |
| Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution | Jul 26, 2016 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| Simultaneous Localization and Parameter Estimation for Single Particle Tracking via Sigma Points based EM | Jan 22, 2020 | parameter estimation | —Unverified | 0 | 0 |
| Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression | Dec 1, 2012 | parameter estimationregression | —Unverified | 0 | 0 |
| Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models | Apr 29, 2018 | Clusteringparameter estimation | —Unverified | 0 | 0 |
| Single Image BRDF Parameter Estimation with a Conditional Adversarial Network | Oct 11, 2019 | parameter estimationRetrieval | —Unverified | 0 | 0 |
| Single-preparation unsupervised quantum machine learning: concepts and applications | Jan 5, 2021 | BIG-bench Machine Learningparameter estimation | —Unverified | 0 | 0 |
| Singularity structures and impacts on parameter estimation in finite mixtures of distributions | Sep 9, 2016 | parameter estimation | —Unverified | 0 | 0 |
| Singular ridge regression with homoscedastic residuals: generalization error with estimated parameters | May 29, 2016 | parameter estimationregression | —Unverified | 0 | 0 |
| Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX | Mar 21, 2021 | Computational Efficiencyparameter estimation | —Unverified | 0 | 0 |
| 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 |
| Sounderfeit: Cloning a Physical Model using a Conditional Adversarial Autoencoder | Jun 25, 2018 | parameter estimationResynthesis | —Unverified | 0 | 0 |
| Sounderfeit: Cloning a Physical Model with Conditional Adversarial Autoencoders | Feb 22, 2018 | parameter estimationResynthesis | —Unverified | 0 | 0 |
| Sparse Array Beamformer Design for Active and Passive Sensing | Jan 18, 2021 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 | 0 |
| Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression | Jun 26, 2024 | parameter estimationregression | —Unverified | 0 | 0 |
| Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity | Aug 1, 2017 | Multi-Task Learningparameter estimation | —Unverified | 0 | 0 |
| Sparse Inverse Covariance Estimation with Calibration | Dec 1, 2013 | Model Selectionparameter estimation | —Unverified | 0 | 0 |
| Sparse model selection via integral terms | Aug 2, 2017 | modelModel Selection | —Unverified | 0 | 0 |
| Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference | Nov 14, 2015 | parameter estimationregression | —Unverified | 0 | 0 |
| Sparse principal component regression for generalized linear models | Sep 28, 2016 | parameter estimationregression | —Unverified | 0 | 0 |
| CRC-Assisted Channel Codes for Integrated Passive Sensing and Communications | Nov 8, 2024 | parameter estimationregression | —Unverified | 0 | 0 |
| Sparse Tensor Additive Regression | Mar 31, 2019 | Click-Through Rate PredictionMarketing | —Unverified | 0 | 0 |
| Sparse time-varying parameter VECMs with an application to modeling electricity prices | Nov 9, 2020 | parameter estimation | —Unverified | 0 | 0 |
| Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI | Jan 27, 2025 | Diffusion MRIparameter estimation | —Unverified | 0 | 0 |
| Spatio-temporal models of infectious disease with high rates of asymptomatic transmission | Jul 20, 2022 | parameter estimation | —Unverified | 0 | 0 |
| Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos | Jul 1, 2017 | object-detectionObject Detection | —Unverified | 0 | 0 |
| Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors | Feb 2, 2024 | Gaussian Processesparameter estimation | —Unverified | 0 | 0 |
| Speaker Identification From Youtube Obtained Data | Nov 11, 2014 | parameter estimationQuantization | —Unverified | 0 | 0 |
| Spectral clustering for dependent community Hawkes process models of temporal networks | May 28, 2025 | parameter estimationStochastic Block Model | —Unverified | 0 | 0 |
| Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing | Aug 28, 2023 | parameter estimation | —Unverified | 0 | 0 |
| SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video | Dec 13, 2024 | 3DGSNovel View Synthesis | —Unverified | 0 | 0 |
| Squared families: Searching beyond regular probability models | Mar 27, 2025 | Density Estimationparameter estimation | —Unverified | 0 | 0 |
| Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies | Mar 11, 2016 | parameter estimation | —Unverified | 0 | 0 |
| Stability and Risk Bounds of Iterative Hard Thresholding | Mar 17, 2022 | compressed sensingOpen-Ended Question Answering | —Unverified | 0 | 0 |
| Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints | Apr 2, 2023 | parameter estimation | —Unverified | 0 | 0 |
| Stable Learning via Sample Reweighting | Nov 28, 2019 | parameter estimationVariable Selection | —Unverified | 0 | 0 |
| Stable Prediction with Model Misspecification and Agnostic Distribution Shift | Jan 31, 2020 | parameter estimationPrediction | —Unverified | 0 | 0 |
| The Proximal Robbins-Monro Method | Oct 4, 2015 | parameter estimationStochastic Optimization | —Unverified | 0 | 0 |
| Standard LSParameter Estimators Ensure Finite Convergence Time for Linear Regression Equations Under an Interval Excitation Assumption | Jun 9, 2025 | parameter estimation | —Unverified | 0 | 0 |
| State and Parameter Estimation for Affine Nonlinear Systems | Apr 4, 2023 | Model-based Reinforcement Learningparameter estimation | —Unverified | 0 | 0 |
| State and parameter estimation for model-based retinal laser treatment | Mar 4, 2021 | parameter estimationState Estimation | —Unverified | 0 | 0 |