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regression

Papers

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Showing 2751–2775 of 9424 papers

TitleStatusHype
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression—0
Computationally efficient versions of conformal predictive distributions—0
Computationally Efficient Robust Estimation of Sparse Functionals—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
A PTAS for Agnostically Learning Halfspaces—0
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation—0
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
Computationally and Statistically Efficient Truncated Regression—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems—0
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
Compression strategies and space-conscious representations for deep neural networks—0
Compressed Sensing with Adversarial Sparse Noise via L1 Regression—0
Compressed Sensing and Overparametrized Networks: Overfitting Peaks in a Model of Misparametrized Sparse Regression in the Interpolation Limit—0
A proof of convergence of multi-class logistic regression network—0
A generalised OMP algorithm for feature selection with application to gene expression data—0
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm—0
3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder—0
Compressed Regression over Adaptive Networks—0
Compressed Regression—0
A probabilistic Taylor expansion with Gaussian processes—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