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regression

Papers

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Showing 3451–3500 of 9424 papers

TitleStatusHype
Feature Selection for Ridge Regression with Provable Guarantees—0
Feature Selection from Differentially Private Correlations—0
Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations—0
A Continuous-Time View of Early Stopping for Least Squares—0
Estimating Time-Varying Parameters of Various Smoothness in Linear Models via Kernel Regression—0
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients—0
Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models—0
Feature Space Sketching for Logistic Regression—0
Estimating the minimizer and the minimum value of a regression function under passive design—0
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning—0
Variance Reduction for the Independent Metropolis Sampler—0
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression—0
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree—0
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Latent Class Regression for Hierarchical Data—0
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression—0
Federated Multi-task Hierarchical Attention Model for Sensor Analytics—0
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Federated Transfer Learning with Differential Privacy—0
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?—0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
Estimating Spillover Effects in the Presence of Isolated Nodes—0
Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines—0
Can Deep Learning Trigger Alerts from Mobile-Captured Images?—0
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems—0
Few-shot Personalized Saliency Prediction Based on Inter-personnel Gaze Patterns—0
Few-Shot Regression via Learned Basis Functions—0
Few-Shot Regression via Learning Sparsifying Basis Functions—0
Estimating Regression Predictive Distributions with Sample Networks—0
Estimating regression errors without ground truth values—0
Cancer Detection with Multiple Radiologists via Soft Multiple Instance Logistic Regression and L_1 Regularization—0
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability—0
Estimating Numbers without Regression—0
Filtering Point Targets via Online Learning of Motion Models—0
Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach—0
An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia—0
Estimating nonlinear regression errors without doing regression—0
Estimating motion with principal component regression strategies—0
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding—0
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression—0
Finding Dantzig selectors with a proximity operator based fixed-point algorithm—0
Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression—0
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data—0
Estimating location parameters in entangled single-sample distributions—0
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark—0
Fine-grained Correlation Loss for Regression—0
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model—0
An interpretable machine learning approach for ferroalloys consumptions—0
A Constructive, Type-Theoretic Approach to Regression via Global Optimisation—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