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regression

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Showing 7201–7250 of 9424 papers

TitleStatusHype
Adapting to Misspecification in Contextual Bandits—0
Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression—0
Adaptive and optimal online linear regression on ^1-balls—0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection—0
Adaptive Conformal Regression with Jackknife+ Rescaled Scores—0
Adaptive Deep Kernel Learning—0
Adaptive deep learning for nonlinear time series models—0
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos—0
Adaptive distributed methods under communication constraints—0
Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters—0
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees—0
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts—0
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP—0
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection—0
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression—0
Adaptive Kernel Value Caching for SVM Training—0
Adaptive Locality Preserving Regression—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Adaptive Multi-Task Lasso: with Application to eQTL Detection—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Adaptive Online Estimation of Piecewise Polynomial Trends—0
Adaptive Online Sequential ELM for Concept Drift Tackling—0
Adaptive Optimization for Prediction with Missing Data—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Adaptive Parameter Selection for Kernel Ridge Regression—0
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance—0
Adaptive Pricing in Insurance: Generalized Linear Models and Gaussian Process Regression Approaches—0
Adaptive Principal Component Regression with Applications to Panel Data—0
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression—0
Adaptive Regulated Sparsity Promoting Approach for Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation—0
Adaptive Sampling for Convex Regression—0
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies—0
Adaptive Sampling Strategies for Stochastic Optimization—0
Adaptive Scaling—0
Adaptive Scheduling for Machine Learning Tasks over Networks—0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression—0
Adaptive Sketches for Robust Regression with Importance Sampling—0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
Adaptive sparse variational approximations for Gaussian process regression—0
Adaptive Stress Testing for Adversarial Learning in a Financial Environment—0
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning—0
Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios—0
Adaptive Transfer Learning for Plant Phenotyping—0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction—0
Adaptivity for Regularized Kernel Methods by Lepskii's Principle—0
Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression—0
Adaptivity to Local Smoothness and Dimension in Kernel Regression—0
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis—0
A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing—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