| Distributionally Robust Learning in Survival Analysis | Jun 2, 2025 | regressionSurvival Analysis | —Unverified | 0 | 0 |
| An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression | Mar 28, 2019 | Open-Ended Question Answeringregression | —Unverified | 0 | 0 |
| Distributionally Robust Learning | Aug 20, 2021 | Decision Makingregression | —Unverified | 0 | 0 |
| Distributionally Robust Active Learning for Gaussian Process Regression | Feb 24, 2025 | Active LearningGPR | —Unverified | 0 | 0 |
| Bayesian Optimization with Informative Covariance | Aug 4, 2022 | Bayesian OptimizationGaussian Processes | —Unverified | 0 | 0 |
| Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls | Jul 18, 2024 | regression | —Unverified | 0 | 0 |
| Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation | Jun 3, 2022 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR | Mar 13, 2024 | Bayesian OptimizationGPR | —Unverified | 0 | 0 |
| An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression | Aug 1, 2020 | regression | —Unverified | 0 | 0 |
| Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs | Mar 5, 2022 | compressed sensingregression | —Unverified | 0 | 0 |
| Distributional encoding for Gaussian process regression with qualitative inputs | Jun 5, 2025 | Bayesian OptimizationMulti-Task Learning | —Unverified | 0 | 0 |
| An Analysis of Loss Functions for Binary Classification and Regression | Jan 18, 2023 | Binary Classificationregression | —Unverified | 0 | 0 |
| Bayesian Optimization by Kernel Regression and Density-based Exploration | Feb 10, 2025 | Bayesian OptimizationComputational Efficiency | —Unverified | 0 | 0 |
| A deep learning-based method for relative location prediction in CT scan images | Nov 21, 2017 | Computed Tomography (CT)regression | —Unverified | 0 | 0 |
| A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN | Jun 25, 2019 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 | 0 |
| A better method to enforce monotonic constraints in regression and classification trees | Nov 2, 2020 | General Classificationregression | —Unverified | 0 | 0 |
| Distributed Sparse Regression via Penalization | Nov 12, 2021 | regression | —Unverified | 0 | 0 |
| Recovery Guarantees for Distributed-OMP | Sep 15, 2022 | regression | —Unverified | 0 | 0 |
| Bayesian Nonlinear Regression using Sums of Simple Functions | Dec 4, 2023 | regression | —Unverified | 0 | 0 |
| Distributed Sparse Linear Regression under Communication Constraints | Jan 9, 2023 | regression | —Unverified | 0 | 0 |
| Distributed Sketching Methods for Privacy Preserving Regression | Feb 16, 2020 | Computational EfficiencyPrivacy Preserving | —Unverified | 0 | 0 |
| Bayesian Neural Network via Stochastic Gradient Descent | Jun 4, 2020 | regressionVariational Inference | —Unverified | 0 | 0 |
| An analysis of least squares regression and neural networks approximation for the pricing of swing options | Jul 10, 2023 | regression | —Unverified | 0 | 0 |
| Bayesian Neural Networks: An Introduction and Survey | Jun 22, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Distributed Parameter Map-Reduce | Oct 3, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| 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 |