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regression

Papers

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Showing 2851–2900 of 9424 papers

TitleStatusHype
Efficient algorithms for multivariate shape-constrained convex regression problems—0
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization—0
Efficient Algorithms for Outlier-Robust Regression—0
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement—0
Efficient and Adaptive Linear Regression in Semi-Supervised Settings—0
Efficient and Consistent Robust Time Series Analysis—0
A Machine Learning Data Fusion Model for Soil Moisture Retrieval—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
End-to-end deep learning for directly estimating grape yield from ground-based imagery—0
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses—0
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery—0
Efficient AUC Optimization for Information Ranking Applications—0
End-to-End Dense Video Grounding via Parallel Regression—0
Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression—0
Efficient Contextual Bandits with Uninformed Feedback Graphs—0
Efficient coordinate-wise leading eigenvector computation—0
Covariate Adjustment in Stratified Experiments—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data—0
Efficient Distributed Learning with Sparsity—0
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction—0
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems—0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts—0
Optimal Rates and Saturation for Noiseless Kernel Ridge Regression—0
Black Box Algorithm Selection by Convolutional Neural Network—0
Deep Learning Regression of VLSI Plasma Etch Metrology—0
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression—0
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
Efficient Gaussian Neural Processes for Regression—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—0
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data—0
Efficient hinging hyperplanes neural network and its application in nonlinear system identification—0
Phase transitions in nonparametric regressions—0
Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits—0
Efficient Image Set Classification using Linear Regression based Image Reconstruction—0
Efficient improper learning for online logistic regression—0
Efficient kernel surrogates for neural network-based regression—0
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression—0
Efficient Least Squares Monte-Carlo Technique for PFE/EE Calculations—0
Efficient Line Search Method Based on Regression and Uncertainty Quantification—0
Efficient List-Decodable Regression using Batches—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering—0
Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors—0
Efficiently Using Second Order Information in Large l1 Regularization Problems—0
Efficient Methods for Online Multiclass Logistic Regression—0
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?—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