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regression

Papers

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Showing 976–1000 of 9424 papers

TitleStatusHype
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
Thunder : Unified Regression-Diffusion Speech Enhancement with a Single Reverse Step using Brownian Bridge—0
A Statistical Theory of Regularization-Based Continual Learning—0
Heterogeneous Treatment Effects in Panel DataCode0
Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech—0
Causal Interpretation of Regressions With Ranks—0
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums—0
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models—0
Accelerating evolutionary exploration through language model-based transfer learning—0
Generative modeling of density regression through tree flows—0
On Regularization via Early Stopping for Least Squares Regression—0
Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression—0
Predictability Analysis of Regression Problems via Conditional Entropy Estimations—0
A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming—0
ConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization—0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
Normalizing Flows for Conformal RegressionCode0
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball LossCode1
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation—0
Coresets for Multiple _p Regression—0
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning—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