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regression

Papers

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Showing 1951–2000 of 9424 papers

TitleStatusHype
A prediction rigidity formalism for low-cost uncertainties in trained neural networks—0
Out-of-distribution robustness for multivariate analysis via causal regularisation—0
Deep Horseshoe Gaussian Processes—0
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing—0
Stochastic gradient descent for streaming linear and rectified linear systems with adversarial corruptions—0
Neural Field Classifiers via Target Encoding and Classification Loss—0
Substitute adjustment via recovery of latent variables—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
Beyond Beats: A Recipe to Song Popularity? A machine learning approach—0
Prognostic Covariate Adjustment for Logistic Regression in Randomized Controlled Trials—0
Machine learning for modular multiplication—0
Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling—0
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning—0
Material Microstructure Design Using VAE-Regression with Multimodal Prior—0
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting—0
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates—0
Conformalized Selective Regression—0
A Provably Accurate Randomized Sampling Algorithm for Logistic RegressionCode0
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent—0
Valuing insurance against small probability risks: A meta-analysis—0
Fast Algorithms for Quantile Regression with Selection—0
Optimal Rates and Saturation for Noiseless Kernel Ridge Regression—0
Frustratingly Simple Prompting-based Text Denoising—0
Transformers are Expressive, But Are They Expressive Enough for Regression?Code0
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps—0
Statistical Agnostic Regression: a machine learning method to validate regression models—0
Inference for Regression with Variables Generated by AI or Machine Learning—0
Efficient semi-supervised inference for logistic regression under case-control studies—0
Sample-Efficient Linear Regression with Self-Selection Bias—0
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data—0
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps—0
Multivariate Online Linear Regression for Hierarchical Forecasting—0
Quantifying neural network uncertainty under volatility clustering—0
Sparse Linear Regression and Lattice Problems—0
Non-Contact Acquisition of PPG Signal using Chest Movement-Modulated Radio Signals—0
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression—0
Stable Update of Regression TreesCode0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Analysis of Bootstrap and Subsampling in High-dimensional Regularized RegressionCode0
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning—0
A Bound on the Maximal Marginal Degrees of Freedom—0
Investigating the Histogram Loss in RegressionCode0
Imbalance in Regression Datasets—0
Bayesian Active Learning for Censored Regression—0
An Adversarial Approach to Evaluating the Robustness of Event Identification Models—0
Improved Indoor Localization with Machine Learning Techniques for IoT applications—0
Learning Memory Kernels in Generalized Langevin Equations—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