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regression

Papers

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Showing 2451–2475 of 9424 papers

TitleStatusHype
Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters—0
Prediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization—0
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications—0
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers—0
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces—0
Evaluación del efecto del PAMI en la cobertura en salud de los adultos mayores en Argentina—0
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You ThinkCode0
Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and LyricsCode0
Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring DataCode1
On the Training Instability of Shuffling SGD with Batch Normalization—0
Disease Severity Regression with Continuous Data Augmentation—0
Retrospective Uncertainties for Deep Models using Vine CopulasCode0
Embeddings for Tabular Data: A Survey—0
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees—0
Calibrated Regression Against An Adversary Without Regret—0
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments—0
Impact of a Batter in ODI Cricket Implementing Regression Models from Match Commentary—0
Contrastive Representation Learning for Acoustic Parameter Estimation—0
A Generalized Weighted Loss for SVC and MLP—0
Explainable Contextual Anomaly Detection using Quantile Regression ForestsCode0
Quantized Low-Rank Multivariate Regression with Random Dithering—0
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search—0
Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes—0
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time—0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
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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