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regression

Papers

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Showing 7051–7100 of 9424 papers

TitleStatusHype
On the Inconsistency of Bayesian Inference for Misspecified Neural Networks—0
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment—0
On the Initialization of Long Short-Term Memory Networks—0
On the intrinsic robustness to noise of some leading classifiers and symmetric loss function -- an empirical evaluation—0
On the kernel learning problem—0
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective—0
On the Minimal Error of Empirical Risk Minimization—0
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression—0
On the Nuisance of Control Variables in Regression Analysis—0
On the Optimality of Misspecified Kernel Ridge Regression—0
On the Optimal Weighted _2 Regularization in Overparameterized Linear Regression—0
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization—0
On the Pinsker bound of inner product kernel regression in large dimensions—0
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation—0
On the Power of Preconditioning in Sparse Linear Regression—0
On the Prediction Performance of the Lasso—0
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data—0
On the rate of convergence of fully connected very deep neural network regression estimates—0
On the relation between Gaussian process quadratures and sigma-point methods—0
On the Relation between Prediction and Imputation Accuracy under Missing Covariates—0
On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms—0
On the Robustness of Human Pose Estimation—0
On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function—0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
On the Sample Complexity of Rank Regression from Pairwise Comparisons—0
On the Saturation Effect of Kernel Ridge Regression—0
On the Saturation Effects of Spectral Algorithms in Large Dimensions—0
On the Size and Approximation Error of Distilled Sets—0
On the Statistical Efficiency of Compositional Nonparametric Prediction—0
On the Subspace Structure of Gradient-Based Meta-Learning—0
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics—0
On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some Applications—0
On the Theory of Dynamic Graph Regression Problem—0
On the Training Instability of Shuffling SGD with Batch Normalization—0
On the Use of Minimum Penalties in Statistical Learning—0
On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers—0
On the weight dynamics of learning networks—0
On the well-spread property and its relation to linear regression—0
Ontology alignment: A Content-Based Bayesian Approach—0
On Hypothesis Transfer Learning of Functional Linear Models—0
On uncertainty-penalized Bayesian information criterion—0
On Uniform Boundedness Properties of SGD and its Momentum Variants—0
On Universal Features for High-Dimensional Learning and Inference—0
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs—0
Operational thermal load forecasting in district heating networks using machine learning and expert advice—0
Operator Feature Neural Network for Symbolic Regression—0
OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis—0
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving—0
Optimal allocation of data across training tasks in meta-learning—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