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Showing 7101–7150 of 9424 papers

TitleStatusHype
Optimal γ and C for ε-Support Vector Regression with RBF Kernels—0
Optimal approximate matrix product in terms of stable rank—0
Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution—0
Optimal Black-Box Reductions Between Optimization Objectives—0
Optimal Categorical Attribute Transformation for Granularity Change in Relational Databases for Binary Decision Problems in Educational Data Mining—0
Optimal Commutation for Switched Reluctance Motors using Gaussian Process Regression—0
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems—0
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms—0
Optimal convex M-estimation via score matching—0
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods—0
Fine-grained analysis of non-parametric estimation for pairwise learning—0
Optimal Estimation Methodologies for Panel Data Regression Models—0
Optimal Estimator for Linear Regression with Shuffled Labels—0
Optimal Estimator for Unlabeled Linear Regression—0
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks—0
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression—0
Optimal Feature Manipulation Attacks Against Linear Regression—0
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
Optimal flow analysis, prediction and application—0
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity—0
Optimal Importance Sampling for Federated Learning—0
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression—0
Optimality of Robust Online Learning—0
Optimal Kernel for Kernel-Based Modal Statistical Methods—0
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input—0
Optimal Kernel Quantile Learning with Random Features—0
Optimal Learners for Realizable Regression: PAC Learning and Online Learning—0
Bayes-optimal Learning of Deep Random Networks of Extensive-width—0
Optimal learning rates for Kernel Conjugate Gradient regression—0
Optimal learning rates for least squares SVMs using Gaussian kernels—0
Optimal Learning Rates for Localized SVMs—0
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions—0
Optimal Learning with Anisotropic Gaussian SVMs—0
Optimal link prediction with matrix logistic regression—0
Optimal lower bounds for logistic log-likelihoods—0
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids—0
Optimally tackling covariate shift in RKHS-based nonparametric regression—0
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications—0
Optimal Model Selection in RDD and Related Settings Using Placebo Zones—0
Optimal prediction for kernel-based semi-functional linear regression—0
Optimal Rate of Kernel Regression in Large Dimensions—0
Optimal Rates for Learning with Nyström Stochastic Gradient Methods—0
Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces—0
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms—0
Optimal rates of approximation by shallow ReLU^k neural networks and applications to nonparametric regression—0
Optimal Rates of Distributed Regression with Imperfect Kernels—0
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions—0
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces—0
Optimal Ratio for Data Splitting—0
Optimal Regularization Can Mitigate Double Descent—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