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regression

Papers

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Showing 3051–3100 of 9424 papers

TitleStatusHype
Noise-Augmented _0 Regularization of Tensor Regression with Tucker Decomposition—0
Mixed Semi-Supervised Generalized-Linear-Regression with Applications to Deep-Learning and Interpolators—0
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback—0
Clustered Covariate Regression—0
Identify local limiting factors of species distribution using min-linear logistic regression—0
Data Augmentation for Imbalanced RegressionCode0
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression—0
Smoothly Giving up: Robustness for Simple Models—0
Practical Contextual Bandits with Feedback Graphs—0
Black-Box Batch Active Learning for RegressionCode0
(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability—0
Optimal Training of Mean Variance Estimation Neural NetworksCode0
Research on road object detection algorithm based on improved YOLOX—0
Infinite Action Contextual Bandits with Reusable Data ExhaustCode0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers—0
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise—0
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion—0
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals—0
Kernel Ridge Regression Inference—0
A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor—0
TPE-Net: Track Point Extraction and Association Network for Rail Path Proposal Generation—0
Dimension Reduction and MARSCode0
Set-Asides in USDA Food Procurement Auctions—0
Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates—0
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric AlgebraCode0
Predicting the cardinality and maximum degree of a reduced Gröbner basisCode0
Discovery of sparse hysteresis models for piezoelectric materialsCode0
On semiparametric estimation of the intercept of the sample selection model: a kernel approach—0
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness—0
A Composite T60 Regression and Classification Approach for Speech Dereverberation—0
Domain Generalization by Functional RegressionCode0
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures—0
Local Law 144: A Critical Analysis of Regression Metrics—0
Fast Linear Model Trees by PILOT—0
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems—0
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning—0
Covariate Adjustment in Stratified Experiments—0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations—0
Reevaluating the Taylor Rule with Machine Learning—0
A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity DegradationCode0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification—0
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data—0
Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach—0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust—0
Testing for Structural Change under Nonstationarity—0
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion—0
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality—0
Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective—0
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning—0
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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