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| Stock Market Sentiment Classification and Backtesting via Fine-tuned BERT | Sep 21, 2023 | regressionSentiment Analysis | —Unverified | 0 | 0 |
| Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries | Jan 10, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Stock Price Prediction using Dynamic Neural Networks | Jun 18, 2023 | Dynamic neural networksPrediction | —Unverified | 0 | 0 |
| Stock price prediction using support vector regression on daily and up to the minute prices | Sep 1, 2018 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| Stock prices and Macroeconomic indicators: Investigating a correlation in Indian context | Dec 15, 2021 | regression | —Unverified | 0 | 0 |
| Stop Regressing: Training Value Functions via Classification for Scalable Deep RL | Mar 6, 2024 | Atari GamesDeep Reinforcement Learning | —Unverified | 0 | 0 |
| STORE: Sparse Tensor Response Regression and Neuroimaging Analysis | Sep 15, 2016 | Computational Efficiencyparameter estimation | —Unverified | 0 | 0 |
| STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge | Jun 25, 2020 | Distributed Computingregression | —Unverified | 0 | 0 |
| STORM: Sketch Toward Online Risk Minimization | Sep 29, 2021 | Classificationregression | —Unverified | 0 | 0 |
| Straggler-Resilient Differentially-Private Decentralized Learning | Dec 6, 2022 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production | Nov 15, 2023 | Data Augmentationregression | —Unverified | 0 | 0 |
| Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments | Aug 23, 2022 | Decision MakingOffline RL | —Unverified | 0 | 0 |
| Strategyproof Linear Regression in High Dimensions | May 27, 2018 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Streaming Active Learning for Regression Problems Using Regression via Classification | Sep 2, 2023 | Active LearningClassification | —Unverified | 0 | 0 |
| Streaming kernel regression with provably adaptive mean, variance, and regularization | Aug 2, 2017 | regressionThompson Sampling | —Unverified | 0 | 0 |
| Streaming regularization parameter selection via stochastic gradient descent | Nov 6, 2015 | regression | —Unverified | 0 | 0 |
| Online Linearized LASSO | Nov 11, 2022 | regressionVariable Selection | —Unverified | 0 | 0 |
| Stretchy Polynomial Regression | Aug 23, 2014 | regression | —Unverified | 0 | 0 |
| Strong identifiability and parameter learning in regression with heterogeneous response | Dec 8, 2022 | parameter estimationregression | —Unverified | 0 | 0 |
| Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression | Dec 25, 2017 | parameter estimationregression | —Unverified | 0 | 0 |
| Strongly universally consistent nonparametric regression and classification with privatised data | Oct 31, 2020 | Binary ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Strong oracle optimality of folded concave penalized estimation | Oct 22, 2012 | quantile regressionregression | —Unverified | 0 | 0 |
| Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates | Feb 10, 2023 | Managementregression | —Unverified | 0 | 0 |
| Structural Econometric Estimation of the Basic Reproduction Number for Covid-19 Across U.S. States and Selected Countries | Sep 9, 2023 | counterfactualregression | —Unverified | 0 | 0 |