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regression

Papers

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Showing 1651–1700 of 9424 papers

TitleStatusHype
Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression—0
Stochastic Gradient Descent for Gaussian Processes Done RightCode1
Projecting basis functions with tensor networks for Gaussian process regression—0
The Phase Transition Phenomenon of Shuffled Regression—0
Non-parametric regression for robot learning on manifolds—0
Implicit Manifold Gaussian Process RegressionCode1
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients—0
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations—0
Associations between urinary phthalate metabolite concentrations and rheumatoid arthritis in the U.S. adult population—0
Comparison of Microservice Call Rate Predictions for Replication in the Cloud—0
TRIAGE: Characterizing and auditing training data for improved regressionCode1
Exploring the Emotional Landscape of Music: An Analysis of Valence Trends and Genre Variations in Spotify Music Data—0
Feature Aggregation in Joint Sound Classification and Localization Neural Networks—0
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation MaximizationCode0
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic RegressionCode1
Efficient kernel surrogates for neural network-based regression—0
Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms—0
Grokking Beyond Neural Networks: An Empirical Exploration with Model ComplexityCode0
Approximate Leave-one-out Cross Validation for Regression with _1 Regularizers (extended version)—0
Deep Imbalanced Regression via Hierarchical Classification Adjustment—0
Inside the black box: Neural network-based real-time prediction of US recessions—0
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression—0
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation—0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression—0
ELM Ridge Regression Boosting—0
Inference for Rank-Rank RegressionsCode0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
Mid-Long Term Daily Electricity Consumption Forecasting Based on Piecewise Linear Regression and Dilated Causal CNN—0
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression—0
Bayesian Regression MarketsCode0
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regressionCode0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
ASBART:Accelerated Soft Bayes Additive Regression TreesCode0
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression—0
Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation—0
Distributed Linear Regression with Compositional Covariates—0
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach—0
Nonparametric Regression with Dyadic Data—0
Enhanced Local Explainability and Trust Scores with Random Forest Proximities—0
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression—0
A benchmark dataset for machine learning in ecotoxicology—0
Layered Models can "Automatically" Regularize and Discover Low-Dimensional Structures via Feature LearningCode0
Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?Code0
Causal Feature Selection via Transfer Entropy—0
Regularization properties of adversarially-trained linear regressionCode0
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches—0
Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria—0
Label Differential Privacy via Aggregation—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
Machine learning in physics: a short guideCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified