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regression

Papers

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Showing 2701–2750 of 9424 papers

TitleStatusHype
Decomposable Sparse Tensor on Tensor Regression—0
Application of machine learning regression models to inverse eigenvalue problemsCode0
Optimal Model Selection in RDD and Related Settings Using Placebo Zones—0
Strong identifiability and parameter learning in regression with heterogeneous response—0
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression—0
Semiparametric Distribution Regression with Instruments and Monotonicity—0
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty—0
AbHE: All Attention-based Homography Estimation—0
Straggler-Resilient Differentially-Private Decentralized Learning—0
Structural transformation and environmental externalities—0
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria—0
Label Encoding for Regression NetworksCode1
Characterizing instance hardness in classification and regression problems—0
Multiscale Structure Guided Diffusion for Image Deblurring—0
Fast and Lightweight Scene Regressor for Camera RelocalizationCode1
SRSD: Rethinking Datasets of Symbolic Regression for Scientific DiscoveryCode1
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
Can machine learning algorithms perform better than multiple linear regression in predicting nitrogen excretion from lactating dairy cows—0
Regularization Trade-offs with Fake Features—0
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar—0
Improving Zero-Shot Models with Label Distribution PriorsCode1
Macro carbon price prediction with support vector regression and Paris accord targets—0
Pathwise CVA Regressions With Oversimulated DefaultsCode0
Synthetic data enable experiments in atomistic machine learningCode1
Frequency Domain Gaussian Process Models for H^ Uncertainties—0
SparsePose: Sparse-View Camera Pose Regression and Refinement—0
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations—0
Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications—0
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target—0
Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data—0
Estimating the minimizer and the minimum value of a regression function under passive design—0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
What learning algorithm is in-context learning? Investigations with linear modelsCode0
Optimal Sparse Regression TreesCode0
Discretized Linear Regression and Multiclass Support Vector Based Air Pollution Forecasting Technique—0
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regressionCode0
Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising AutoencodersCode0
Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression—0
Eluder-based Regret for Stochastic Contextual MDPs—0
Estimation and inference for transfer learning with high-dimensional quantile regression—0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Condensed Gradient BoostingCode0
Machine Learning Algorithms for Predicting in-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infar—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene FlowCode1
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
Estimating Regression Predictive Distributions with Sample Networks—0
Differentially Private Image Classification from FeaturesCode0
The GA-cal software for the automatic calibration of soil constitutive laws: a tutorial and a user manualCode0
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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