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regression

Papers

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Showing 2001–2050 of 9424 papers

TitleStatusHype
An analysis of least squares regression and neural networks approximation for the pricing of swing options—0
Text Descriptions are Compressive and Invariant Representations for Visual Learning—0
Ensemble learning for blending gridded satellite and gauge-measured precipitation data—0
From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance—0
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training—0
On Unified Adaptive Portfolio Management—0
Optimal Learners for Realizable Regression: PAC Learning and Online Learning—0
Explainable quantum regression algorithm with encoded data structure—0
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data—0
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention—0
Scalable Membership Inference Attacks via Quantile Regression—0
A Combinatorial Characterization of Supervised Online Learnability—0
Learning Theory of Distribution Regression with Neural Networks—0
When No-Rejection Learning is Consistent for Regression with RejectionCode0
OLR-WA Online Regression with Weighted Average—0
Few-shot Personalized Saliency Prediction Based on Inter-personnel Gaze Patterns—0
Beyond Intuition, a Framework for Applying GPs to Real-World DataCode0
Conditional independence testing under misspecified inductive biasesCode0
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick—0
Hybrid additive modeling with partial dependence for supervised regression and dynamical systems forecastingCode0
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions—0
Panel Data Nowcasting: The Case of Price-Earnings Ratios—0
Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description—0
Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxiesCode0
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and InterpretabilityCode1
Adaptive Principal Component Regression with Applications to Panel Data—0
Engression: Extrapolation through the Lens of Distributional RegressionCode1
Vector Quantile Regression on ManifoldsCode0
Transfer learning for semantic similarity measures based on symbolic regressionCode0
The Yule-Frisch-Waugh-Lovell Theorem—0
Unified Transfer Learning Models in High-Dimensional Linear Regression—0
Hierarchical Bayesian Regression for Multi-Location Sales Transaction Forecasting—0
Medoid splits for efficient random forests in metric spacesCode0
Fast Robust Kernel Regression through Sign Gradient Descent with Early StoppingCode0
Understanding Pathologies of Deep Heteroskedastic Regression—0
Local Risk Bounds for Statistical Aggregation—0
Metric-aligned Sample Selection and Critical Feature Sampling for Oriented Object Detection—0
A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023Code0
Transfer Learning with Random Coefficient Ridge Regression—0
Sparse wavelet-based solutions for the M/EEG inverse problem—0
Wasserstein Generative Regression—0
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regressionCode1
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories—0
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing—0
Gradient Descent Converges Linearly for Logistic Regression on Separable Data—0
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction—0
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process RegressionCode0
Optimal Cross-Validation for Sparse Linear 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