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regression

Papers

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Showing 4601–4650 of 9424 papers

TitleStatusHype
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data—0
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time—0
LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects—0
Flexible Covariate Adjustments in Regression Discontinuity Designs—0
Chi-square and normal inference in high-dimensional multi-task regression—0
Machine learning of Kondo physics using variational autoencoders and symbolic regressionCode0
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data—0
Credit scoring using neural networks and SURE posterior probability calibration—0
Performance of Bayesian linear regression in a model with mismatch—0
Oblivious sketching for logistic regressionCode0
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression—0
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Bidirectional Regression for Arbitrary-Shaped Text Detection—0
Semiparametric Latent Topic Modeling on Consumer-Generated Corpora—0
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic ResponsesCode0
Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping—0
Least-Squares Linear Dilation-Erosion Regressor Trained using a Convex-Concave Procedure—0
Adapting to Misspecification in Contextual Bandits—0
Machine Learning based CVD Virtual Metrology in Mass Produced Semiconductor Process—0
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous DrivingCode0
Meta-aprendizado para otimizacao de parametros de redes neurais—0
Goal scoring in Premier League with Poisson regression—0
Cluster Regularization via a Hierarchical Feature Regression—0
Gaussian Process Subspace Regression for Model ReductionCode0
Learning-Based Nonlinear H^ Control via Game-Theoretic Differential Dynamic Programming—0
The Bayesian Learning Rule—0
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression—0
The unreasonable effectiveness of optimal transport in economics—0
A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing—0
Adaptive Stress Testing for Adversarial Learning in a Financial Environment—0
Scaling Gaussian Processes with Derivative Information Using Variational Inference—0
Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition—0
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling—0
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear RegressionCode0
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis—0
Probabilistic partition of unity networks: clustering based deep approximation—0
Dynamic Ordered Panel Logit Models—0
Weighted Gaussian Process Bandits for Non-stationary Environments—0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on GraphsCode0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
An Inverse QSAR Method Based on Linear Regression and Integer Programming—0
Identification of Dynamical Systems using Symbolic Regression—0
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised LearningCode0
Multivariate functional group sparse regression: functional predictor selectionCode0
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination—0
Meta-learning Amidst Heterogeneity and AmbiguityCode0
Near-optimal inference in adaptive linear regression—0
Inferring the Structure of Ordinary Differential Equations—0
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression—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