| Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data | Jul 7, 2023 | regression | —Unverified | 0 | 0 |
| Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring | Aug 22, 2022 | Event Detectionregression | —Unverified | 0 | 0 |
| Scalable Hyperparameter Transfer Learning | Dec 1, 2018 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 | 0 |
| Scalable Inference for Gaussian Process Models with Black-Box Likelihoods | Dec 1, 2015 | General Classificationregression | —Unverified | 0 | 0 |
| Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality | Aug 9, 2014 | Causal InferenceGeneralization Bounds | —Unverified | 0 | 0 |
| Scalable Membership Inference Attacks via Quantile Regression | Jul 7, 2023 | quantile regressionregression | —Unverified | 0 | 0 |
| Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization | Sep 20, 2021 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities | Apr 22, 2021 | regressionTime Series | —Unverified | 0 | 0 |
| Scalable Quasi-Bayesian Inference for Instrumental Variable Regression | May 21, 2021 | Bayesian Inferenceregression | —Unverified | 0 | 0 |
| Scalable Signature-Based Distribution Regression via Reference Sets | Oct 11, 2024 | regression | —Unverified | 0 | 0 |
| Scalable Sparse Subspace Clustering via Ordered Weighted _1 Regression | Jul 10, 2018 | Clusteringregression | —Unverified | 0 | 0 |
| Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression | Aug 31, 2021 | regression | —Unverified | 0 | 0 |
| Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression | Dec 5, 2019 | regressionStochastic Optimization | —Unverified | 0 | 0 |
| Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference | May 7, 2024 | Bayesian InferenceData Augmentation | —Unverified | 0 | 0 |
| Scalar vs. mereological conceptualizations of the N-BY-N and NUM-BY-NUM adverbials | Dec 1, 2020 | regression | —Unverified | 0 | 0 |
| Scale-Adaptive Convolutions for Scene Parsing | Oct 1, 2017 | GPUregression | —Unverified | 0 | 0 |
| Scale calibration for high-dimensional robust regression | Nov 6, 2018 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Scale-free Unconstrained Online Learning for Curved Losses | Feb 11, 2022 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| Scale invariant process regression: Towards Bayesian ML with minimal assumptions | Aug 22, 2022 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for Nonrigid Image Registration | Mar 3, 2013 | Image Registrationregression | —Unverified | 0 | 0 |
| Scaling Gaussian Processes with Derivative Information Using Variational Inference | Jul 8, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 | 0 |
| Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression | Feb 13, 2025 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| Scaling Laws in Linear Regression: Compute, Parameters, and Data | Jun 12, 2024 | regression | —Unverified | 0 | 0 |
| Scaling the weight parameters in Markov logic networks and relational logistic regression models | Mar 28, 2021 | regression | —Unverified | 0 | 0 |
| Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions | Oct 22, 2018 | regression | —Unverified | 0 | 0 |