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regression

Papers

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Showing 2651–2700 of 9424 papers

TitleStatusHype
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories—0
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process RegressionCode0
Gradient Descent Converges Linearly for Logistic Regression on Separable Data—0
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction—0
Near Optimal Heteroscedastic Regression with Symbiotic Learning—0
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms—0
Stance Prediction and Analysis of Twitter data : A case study of Ghana 2020 Presidential ElectionsCode0
A Unified Approach to Controlling Implicit Regularization via Mirror Descent—0
Adversarial Robustness Certification for Bayesian Neural NetworksCode0
Factor-augmented sparse MIDAS regressions with an application to nowcasting—0
Uniform Convergence with Square-Root Lipschitz Loss—0
Outlier-robust Estimation of a Sparse Linear Model Using Invexity—0
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression—0
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study—0
Explaining human body responses in random vibration: Effect of motion direction, sitting posture, and anthropometry—0
Nonlinear Feature Aggregation: Two Algorithms driven by Theory—0
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic ProgrammingCode0
Prediction model for rare events in longitudinal follow-up and resampling methods—0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices—0
Dropout Regularization Versus _2-Penalization in the Linear Model—0
Stock Price Prediction using Dynamic Neural Networks—0
Weakly Supervised Regression with Interval Targets—0
Deep Huber quantile regression networks—0
Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking—0
Trained Transformers Learn Linear Models In-Context—0
Prototype Learning for Explainable Brain Age Prediction—0
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph CoarseningCode0
Partial-Label RegressionCode0
Modelling and Forecasting Macroeconomic Risk with Time Varying Skewness Stochastic Volatility Models—0
Regression-Based Model Error Compensation for Hierarchical MPC Building Energy Management System—0
Performance Evaluation and Comparison of a New Regression Algorithm—0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning—0
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel RegressionCode0
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression—0
Nonparametric regression using over-parameterized shallow ReLU neural networks—0
Predicting Wireless Channel Quality by means of Moving Averages and Regression Models—0
Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and SiswatiCode0
Hinting Pipeline and Multivariate Regression CNN for Maize Kernel Counting on the Ear—0
Novel Regression and Least Square Support Vector Machine Learning Technique for Air Pollution Forecasting—0
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingCode0
Differentially private sliced inverse regression in the federated paradigm—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Bayes optimal learning in high-dimensional linear regression with network side information—0
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity—0
Robust Brain Age Estimation via Regression Models and MRI-derived Features—0
Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statisticsCode0
Monte Carlo inference for semiparametric Bayesian regression—0
In-Context Learning through the Bayesian PrismCode0
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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