| Faster Kernel Interpolation for Gaussian Processes | Jan 28, 2021 | Gaussian Processesregression | —Unverified | 0 |
| Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss | Jan 28, 2021 | object-detectionObject Detection | —Unverified | 0 |
| Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning | Jan 28, 2021 | regressionVariational Inference | —Unverified | 0 |
| Fundamental limits and algorithms for sparse linear regression with sublinear sparsity | Jan 27, 2021 | Bayesian Inferenceregression | —Unverified | 0 |
| Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach | Jan 27, 2021 | Model Selectionquantile regression | —Unverified | 0 |
| Complementary Composite Minimization, Small Gradients in General Norms, and Applications | Jan 26, 2021 | regression | —Unverified | 0 |
| Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion | Jan 26, 2021 | Future predictionPanoptic Segmentation | —Unverified | 0 |
| Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem | Jan 26, 2021 | regression | —Unverified | 0 |
| Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration | Jan 26, 2021 | regression | —Unverified | 0 |
| Monitoring and Forecasting COVID-19: Statistical Heuristic Regression, Susceptible-Infected-Removed model and, Spatial Stochastics | Jan 26, 2021 | regression | —Unverified | 0 |
| Sample path generation of the stochastic volatility CGMY process and its application to path-dependent option pricing | Jan 25, 2021 | regression | —Unverified | 0 |
| Adaptive Scheduling for Machine Learning Tasks over Networks | Jan 25, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Consistent specification testing under spatial dependence | Jan 25, 2021 | regression | —Unverified | 0 |
| Vertical federated learning based on DFP and BFGS | Jan 23, 2021 | Federated Learningregression | —Unverified | 0 |
| Next-best-view Regression using a 3D Convolutional Neural Network | Jan 23, 2021 | 3D Object ReconstructionObject Reconstruction | CodeCode Available | 0 |
| Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric | Jan 22, 2021 | regression | CodeCode Available | 0 |
| Linear Regression with Distributed Learning: A Generalization Error Perspective | Jan 22, 2021 | regression | —Unverified | 0 |
| Prediction of Chronic Kidney Disease - A Machine Learning Perspective | Jan 22, 2021 | Disease Predictionfeature selection | —Unverified | 0 |
| Robust W-GAN-Based Estimation Under Wasserstein Contamination | Jan 20, 2021 | regression | —Unverified | 0 |
| Focal and Efficient IOU Loss for Accurate Bounding Box Regression | Jan 20, 2021 | object-detectionObject Detection | CodeCode Available | 0 |
| Autocart -- spatially-aware regression trees for ecological and spatial modeling | Jan 20, 2021 | regression | —Unverified | 0 |
| SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks | Jan 19, 2021 | regression | —Unverified | 0 |
| Transferring model structure in Bayesian transfer learning for Gaussian process regression | Jan 18, 2021 | Decision Makingregression | —Unverified | 0 |
| Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI | Jan 18, 2021 | regressionUncertainty Quantification | CodeCode Available | 0 |
| Causal Gradient Boosting: Boosted Instrumental Variable Regression | Jan 15, 2021 | regression | —Unverified | 0 |