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regression

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Showing 1401–1450 of 9424 papers

TitleStatusHype
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison—0
Calibrated Computation-Aware Gaussian ProcessesCode0
Ranking over Regression for Bayesian Optimization and Molecule SelectionCode0
Scalable Signature-Based Distribution Regression via Reference Sets—0
Kolmogorov-Arnold Neural Networks for High-Entropy Alloys Design—0
Theoretical limits of descending _0 sparse-regression ML algorithms—0
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks—0
Robustness Auditing for Linear Regression: To Singularity and BeyondCode0
Optimizing Estimators of Squared Calibration Errors in Classification—0
SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression TreesCode0
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression—0
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks—0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression—0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Random-projection ensemble dimension reductionCode0
Conditional Variational Autoencoders for Probabilistic Pose Regression—0
Testing Credibility of Public and Private Surveys through the Lens of Regression—0
Regression Conformal Prediction under BiasCode0
Precise Model Benchmarking with Only a Few Observations—0
A Strategy for Label Alignment in Deep Neural NetworksCode0
Minimax-optimal and Locally-adaptive Online Nonparametric Regression—0
Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula—0
Accelerating Deep Learning with Fixed Time Budget—0
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection—0
Highly Adaptive Ridge—0
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks—0
Distributed Learning with Discretely Observed Functional Data—0
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust RegressionCode0
HelpSteer2-Preference: Complementing Ratings with Preferences—0
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks—0
Transformers Handle Endogeneity in In-Context Linear Regression—0
Bayesian Binary Search—0
On metric choice in dimension reduction for Fréchet regression—0
Causal Inference Tools for a Better Evaluation of Machine Learning—0
Attention layers provably solve single-location regressionCode0
GPTreeO: An R package for continual regression with dividing local Gaussian processes—0
Interval Estimation of Coefficients in Penalized Regression Models of Insurance DataCode0
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization—0
High-dimensional logistic regression with missing data: Imputation, regularization, and universality—0
Shuffled Linear Regression via Spectral Matching—0
New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings—0
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas—0
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis—0
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs—0
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators—0
Automatic debiasing of neural networks via moment-constrained learningCode0
Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection—0
A Characterization of List Regression—0
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media—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