| Distributed Online Linear Regression | Feb 13, 2019 | regression | —Unverified | 0 | 0 |
| Bayesian Network Learning via Topological Order | Jan 20, 2017 | regression | —Unverified | 0 | 0 |
| An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features | Jan 31, 2023 | Information RetrievalMusic Information Retrieval | —Unverified | 0 | 0 |
| A Deep Learning Approach for Characterizing Major Galaxy Mergers | Feb 9, 2021 | Deep Learningregression | —Unverified | 0 | 0 |
| Distributed Nonparametric Regression under Communication Constraints | Mar 4, 2018 | regression | —Unverified | 0 | 0 |
| Distributed Nonparametric Estimation under Communication Constraints | Apr 21, 2022 | Density Estimationregression | —Unverified | 0 | 0 |
| Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications | Nov 29, 2022 | quantile regressionregression | —Unverified | 0 | 0 |
| Distributed Linear Regression with Compositional Covariates | Oct 21, 2023 | Distributed Optimizationregression | —Unverified | 0 | 0 |
| Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification | Aug 14, 2016 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| An Analysis of Active Learning With Uniform Feature Noise | May 15, 2015 | Active LearningBinary Classification | —Unverified | 0 | 0 |
| Distributed Learning with Discretely Observed Functional Data | Oct 3, 2024 | regression | —Unverified | 0 | 0 |
| Distributed Learning with Dependent Samples | Feb 10, 2020 | regression | —Unverified | 0 | 0 |
| Bayesian model selection consistency and oracle inequality with intractable marginal likelihood | Jan 2, 2017 | Gaussian ProcessesModel Selection | —Unverified | 0 | 0 |
| Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes | Mar 29, 2021 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Distributed Kernel Ridge Regression with Communications | Mar 27, 2020 | Learning Theoryregression | —Unverified | 0 | 0 |
| Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm | Nov 30, 2021 | regression | —Unverified | 0 | 0 |
| Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression | Aug 4, 2020 | Learning Theoryregression | —Unverified | 0 | 0 |
| A decomposition method to evaluate the `paradox of progress' with evidence for Argentina | Dec 7, 2021 | quantile regressionregression | —Unverified | 0 | 0 |
| A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy | Apr 16, 2023 | Predictionregression | —Unverified | 0 | 0 |
| Distributed High-dimensional Regression Under a Quantile Loss Function | Jun 13, 2019 | quantile regressionregression | —Unverified | 0 | 0 |
| Bayesian Modeling of TVP-VARs Using Regression Trees | Sep 24, 2022 | regression | —Unverified | 0 | 0 |
| Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality | Dec 18, 2016 | regression | —Unverified | 0 | 0 |
| Distributed Gaussian Processes | Feb 10, 2015 | FormGaussian Processes | —Unverified | 0 | 0 |
| Bayesian mixtures of spatial spline regressions | Aug 4, 2015 | ClusteringDensity Estimation | —Unverified | 0 | 0 |
| Analyzing Trendy Twitter Hashtags in the 2022 French Election | Oct 11, 2023 | regression | —Unverified | 0 | 0 |