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regression

Papers

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Showing 1676–1700 of 9424 papers

TitleStatusHype
Ridge interpolators in correlated factor regression models -- exact risk analysis—0
Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality—0
Scaling Laws in Linear Regression: Compute, Parameters, and Data—0
Noise-Aware Differentially Private Regression via Meta-LearningCode0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding—0
DecoR: Deconfounding Time Series with Robust RegressionCode0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes—0
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
Thunder : Unified Regression-Diffusion Speech Enhancement with a Single Reverse Step using Brownian Bridge—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
A Statistical Theory of Regularization-Based Continual Learning—0
Heterogeneous Treatment Effects in Panel DataCode0
Causal Interpretation of Regressions With Ranks—0
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models—0
Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech—0
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums—0
Generative modeling of density regression through tree flows—0
Accelerating evolutionary exploration through language model-based transfer learning—0
Predictability Analysis of Regression Problems via Conditional Entropy Estimations—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
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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