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regression

Papers

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Showing 1651–1700 of 9424 papers

TitleStatusHype
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data—0
Movement-Prediction-Adjusted Naïve Forecast—0
Estimating Time-Varying Parameters of Various Smoothness in Linear Models via Kernel Regression—0
High-probability minimax lower bounds—0
On the Consistency of Fairness Measurement Methods for Regression Tasks—0
Bayesian Circular Regression with von Mises Quasi-Processes—0
Predicting the energetic proton flux with a machine learning regression algorithm—0
An Optimal Transport Approach for Network Regression—0
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection—0
Minimax Linear Regression under the Quantile Risk—0
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions—0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction—0
Analysing the Behaviour of Tree-Based Neural Networks in Regression TasksCode0
MSBoost: Using Model Selection with Multiple Base Estimators for Gradient BoostingCode0
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models—0
First-Order Manifold Data Augmentation for Regression LearningCode0
Research on Trends in Illegal Wildlife Trade based on Comprehensive Growth Dynamic Model—0
Stacking for Probabilistic Short-term Load Forecasting—0
Full reference point cloud quality assessment using support vector regressionCode0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
An Efficient Approach to Regression Problems with Tensor Neural Networks—0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias—0
Deep Sketched Output Kernel Regression for Structured PredictionCode0
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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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