| Inference for Rank-Rank Regressions | Oct 24, 2023 | regression | CodeCode Available | 0 |
| Guaranteed Coverage Prediction Intervals with Gaussian Process Regression | Oct 24, 2023 | Conformal PredictionGPR | —Unverified | 0 |
| Mid-Long Term Daily Electricity Consumption Forecasting Based on Piecewise Linear Regression and Dilated Causal CNN | Oct 23, 2023 | Predictionregression | —Unverified | 0 |
| Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression | Oct 23, 2023 | regression | —Unverified | 0 |
| Bayesian Regression Markets | Oct 23, 2023 | regression | CodeCode Available | 0 |
| Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression | Oct 23, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts | Oct 22, 2023 | Density EstimationMixture-of-Experts | —Unverified | 0 |
| ASBART:Accelerated Soft Bayes Additive Regression Trees | Oct 21, 2023 | regression | CodeCode Available | 0 |
| Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression | Oct 21, 2023 | regressionTransfer Learning | —Unverified | 0 |
| Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation | Oct 21, 2023 | regression | —Unverified | 0 |
| Distributed Linear Regression with Compositional Covariates | Oct 21, 2023 | Distributed Optimizationregression | —Unverified | 0 |
| Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach | Oct 19, 2023 | regression | —Unverified | 0 |
| Nonparametric Regression with Dyadic Data | Oct 19, 2023 | regression | —Unverified | 0 |
| Enhanced Local Explainability and Trust Scores with Random Forest Proximities | Oct 19, 2023 | Predictionregression | —Unverified | 0 |
| Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression | Oct 19, 2023 | regression | —Unverified | 0 |
| A benchmark dataset for machine learning in ecotoxicology | Oct 18, 2023 | regression | —Unverified | 0 |
| Layered Models can "Automatically" Regularize and Discover Low-Dimensional Structures via Feature Learning | Oct 18, 2023 | Dimensionality Reductionregression | CodeCode Available | 0 |
| Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ? | Oct 18, 2023 | regression | CodeCode Available | 0 |
| Causal Feature Selection via Transfer Entropy | Oct 17, 2023 | Causal Discoveryfeature selection | —Unverified | 0 |
| Regularization properties of adversarially-trained linear regression | Oct 16, 2023 | regression | CodeCode Available | 0 |
| Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches | Oct 16, 2023 | Model Discoveryregression | —Unverified | 0 |
| Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria | Oct 16, 2023 | regression | —Unverified | 0 |
| Label Differential Privacy via Aggregation | Oct 16, 2023 | regression | —Unverified | 0 |
| Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data | Oct 16, 2023 | counterfactualEpidemiology | —Unverified | 0 |
| Machine learning in physics: a short guide | Oct 16, 2023 | Causal Inferenceregression | CodeCode Available | 1 |