| Bayesian Linear Regression with Cauchy Prior and Its Application in Sparse MIMO Radar | Jul 20, 2023 | regressionSingle Particle Analysis | —Unverified | 0 |
| Distributed and Rate-Adaptive Feature Compression | Apr 2, 2024 | Feature Compressionregression | —Unverified | 0 |
| Distributed Bayesian Posterior Sampling via Moment Sharing | Dec 1, 2014 | regression | —Unverified | 0 |
| Distributed Continual Learning with CoCoA in High-dimensional Linear Regression | Dec 4, 2023 | Continual Learningregression | —Unverified | 0 |
| Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels | Mar 26, 2023 | regression | —Unverified | 0 |
| Bayesian longitudinal tensor response regression for modeling neuroplasticity | Sep 12, 2023 | feature selectionregression | —Unverified | 0 |
| Distributed dictionary learning over a sensor network | Apr 12, 2013 | Dictionary Learningregression | —Unverified | 0 |
| Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version | Apr 11, 2023 | Gaussian Processesregression | —Unverified | 0 |
| Bayesian meta learning for trustworthy uncertainty quantification | Jul 27, 2024 | Meta-Learningregression | —Unverified | 0 |
| Distributed Gaussian Processes | Feb 10, 2015 | FormGaussian Processes | —Unverified | 0 |
| Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality | Dec 18, 2016 | regression | —Unverified | 0 |
| Bayesian Modeling of TVP-VARs Using Regression Trees | Sep 24, 2022 | regression | —Unverified | 0 |
| Distributed High-dimensional Regression Under a Quantile Loss Function | Jun 13, 2019 | quantile regressionregression | —Unverified | 0 |
| Distributed Kernel Ridge Regression with Communications | Mar 27, 2020 | Learning Theoryregression | —Unverified | 0 |
| Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes | Mar 29, 2021 | Gaussian Processesregression | —Unverified | 0 |
| Distributed Learning with Dependent Samples | Feb 10, 2020 | regression | —Unverified | 0 |
| Distributed Learning with Discretely Observed Functional Data | Oct 3, 2024 | regression | —Unverified | 0 |
| Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification | Aug 14, 2016 | ClassificationGeneral Classification | —Unverified | 0 |
| Distributed Linear Regression with Compositional Covariates | Oct 21, 2023 | Distributed Optimizationregression | —Unverified | 0 |
| Distributed Nonparametric Estimation under Communication Constraints | Apr 21, 2022 | Density Estimationregression | —Unverified | 0 |
| Distributed Nonparametric Regression under Communication Constraints | Mar 4, 2018 | regression | —Unverified | 0 |
| Distributed Online Linear Regression | Feb 13, 2019 | regression | —Unverified | 0 |
| Distributed Parameter Map-Reduce | Oct 3, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Bayesian Neural Networks: An Introduction and Survey | Jun 22, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning | Feb 23, 2022 | Metric Learningparameter estimation | —Unverified | 0 |