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regression

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Showing 3351–3400 of 9424 papers

TitleStatusHype
Fast Approximate L_infty Minimization: Speeding Up Robust Regression—0
Estimation of High-Dimensional Seemingly Unrelated Regression Models—0
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model—0
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation—0
Cap or No Cap? What Can Governments Do to Promote EV Sales?—0
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes—0
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets—0
Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression—0
Estimation of Electronic Band Gap Energy From Material Properties Using Machine Learning—0
Capital Structure in U.S., a Quantile Regression Approach with Macroeconomic Impacts—0
Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions—0
Fast, Dense Feature SDM on an iPhone—0
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes—0
Fast DPP Sampling for Nyström with Application to Kernel Methods—0
Can we trust the bootstrap in high-dimension?—0
An Inverse QSAR Method Based on Linear Regression and Integer Programming—0
A Convergent Linear Regression Method for Forward-Backward Stochastic Differential Equations with Jumps—0
Estimation of a regression function on a manifold by fully connected deep neural networks—0
Faster Kernel Interpolation for Gaussian Processes—0
Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression—0
Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method—0
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation—0
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression—0
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression—0
Can we achieve robustness from data alone?—0
Fast Function to Function Regression—0
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation—0
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data—0
Fast Generalized Matrix Regression with Applications in Machine Learning—0
Fast geometric trim fitting using partial incremental sorting and accumulation—0
Estimation and Inference with Trees and Forests in High Dimensions—0
Fast gradient descent for drifting least squares regression, with application to bandits—0
Fast Graph Neural Tangent Kernel via Kronecker Sketching—0
Fast Image Super-Resolution Based on In-Place Example Regression—0
Estimation and Inference in Boundary Discontinuity Designs—0
Estimation and Inference by Stochastic Optimization: Three Examples—0
An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction—0
Can machine learning algorithms perform better than multiple linear regression in predicting nitrogen excretion from lactating dairy cows—0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case—0
Estimation Algorithm Non-Stationary Frequency of the Sinusoidal Signal—0
Can LLM Generate Regression Tests for Software Commits?—0
Estimating vector fields using sparse basis field expansions—0
Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift—0
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling—0
Fast methods for training Gaussian processes on large data sets—0
An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation—0
A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams—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