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regression

Papers

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Showing 2001–2050 of 9424 papers

TitleStatusHype
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsCode0
Developing an Optimal Model for Predicting the Severity of Wheat Stem Rust (Case study of Arsi and Bale Zone)—0
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport RidershipCode0
On Automating Video Game Regression Testing by Planning and Learning—0
Fast Data-driven Greedy Sensor Selection for Ridge Regression—0
Nowcasting with Mixed Frequency Data Using Gaussian Processes—0
Functional Partial Least-Squares: Adaptive Estimation and Inference—0
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization—0
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes—0
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs—0
Conformalized Adaptive Forecasting of Heterogeneous TrajectoriesCode0
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration—0
Target Score Matching—0
Contrastive Learning for Regression on Hyperspectral Data—0
Model Collapse Demystified: The Case of Regression—0
Physics-informed machine learning as a kernel methodCode0
Efficient Contextual Bandits with Uninformed Feedback Graphs—0
Tail risk forecasting with semi-parametric regression models by incorporating overnight information—0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey—0
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System—0
Low-Rank Approximation of Structural Redundancy for Self-Supervised LearningCode0
Logistic-beta processes for dependent random probabilities with beta marginalsCode0
A Functional Analysis Approach to Symbolic Regression—0
Towards a Systematic Approach to Design New Ensemble Learning AlgorithmsCode0
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition—0
Nonparametric Instrumental Variable Regression through Stochastic Approximate GradientsCode0
Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results—0
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest RadiographsCode0
Implicit Bias and Fast Convergence Rates for Self-attention—0
Riemann-Lebesgue Forest for Regression—0
A comparative study on feature selection for a risk prediction model for colorectal cancer—0
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression—0
Fast Online Changepoint Detection—0
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems—0
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernelsCode0
Multilinear Kernel Regression and Imputation via Manifold Learning—0
An Optimal House Price Prediction Algorithm: XGBoost—0
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression—0
Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations—0
A flexible Bayesian g-formula for causal survival analyses with time-dependent confoundingCode0
A Fast Method for Lasso and Logistic Lasso—0
The Developmental Landscape of In-Context Learning—0
Query-decision Regression between Shortest Path and Minimum Steiner TreeCode0
One-inflated zero-truncated Poisson and negative binomial regression models—0
Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression ModelsCode0
Direct side information learning for zero-shot regressionCode0
Target inductive methods for zero-shot regressionCode0
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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