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regression

Papers

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Showing 8851–8900 of 9424 papers

TitleStatusHype
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensionsCode0
Panoptic-DeepLabCode0
Diffusion Counterfactuals for Image RegressorsCode0
How Good are Low-Rank Approximations in Gaussian Process Regression?Code0
How Implicit Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part I: the 1-D Case of Two Layers with Random First LayerCode0
Triple descent and the two kinds of overfitting: Where & why do they appear?Code0
Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression MethodsCode0
Regression Networks For Calculating Englacial Layer ThicknessCode0
Regression of Dense Distortion Field from a Single Fingerprint ImageCode0
When No-Rejection Learning is Consistent for Regression with RejectionCode0
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov ApproximationCode0
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix ApproximationsCode0
How Many Pages? Paper Length Prediction from the MetadataCode0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modelingCode0
Accelerating Cross-Validation in Multinomial Logistic Regression with _1-RegularizationCode0
Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax TheoryCode0
Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecificationCode0
Statistical guarantees for stochastic Metropolis-HastingsCode0
Differentially Private Post-Processing for Fair RegressionCode0
How rotational invariance of common kernels prevents generalization in high dimensionsCode0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structureCode0
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object DetectionCode0
How to Protect Copyright Data in Optimization of Large Language Models?Code0
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data DistillationCode0
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regressionCode0
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
Differentially Private Image Classification from FeaturesCode0
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality AssessmentCode0
Differentially Private Ensemble Classifiers for Data StreamsCode0
Using Data Mining to Predict Hospital Admissions From the Emergency DepartmentCode0
Regression Planning NetworksCode0
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership InferenceCode0
Human pose estimation via Convolutional Part Heatmap RegressionCode0
Human Pose Regression by Combining Indirect Part Detection and Contextual InformationCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical SignalsCode0
Hunting for Discriminatory Proxies in Linear Regression ModelsCode0
Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality AssessmentCode0
Parametric Gaussian Process Regression for Big DataCode0
Variational Mixture Models with Gamma or inverse-Gamma componentsCode0
Automated Problem Identification: Regression vs Classification via Evolutionary Deep NetworksCode0
Hybrid coarse-fine classification for head pose estimationCode0
Modeling the dynamics of language change: logistic regression, Piotrowski's law, and a handful of examples in PolishCode0
A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial RegressionCode0
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global OptimizationCode0
Hybrid Forest: A Concept Drift Aware Data Stream Mining AlgorithmCode0
Parity CalibrationCode0
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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