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| Optimal lower bounds for logistic log-likelihoods | Oct 14, 2024 | Bayesian Inferenceregression | —Unverified | 0 | 0 |
| Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids | Oct 15, 2018 | regression | —Unverified | 0 | 0 |
| Optimally tackling covariate shift in RKHS-based nonparametric regression | May 6, 2022 | regression | —Unverified | 0 | 0 |
| Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications | Jun 22, 2022 | Drug DiscoveryModel Selection | —Unverified | 0 | 0 |
| Optimal Model Selection in RDD and Related Settings Using Placebo Zones | Dec 8, 2022 | Model Selectionregression | —Unverified | 0 | 0 |
| Optimal prediction for kernel-based semi-functional linear regression | Oct 29, 2021 | Predictionregression | —Unverified | 0 | 0 |
| Optimal Rate of Kernel Regression in Large Dimensions | Sep 8, 2023 | regression | —Unverified | 0 | 0 |
| Optimal Rates for Learning with Nyström Stochastic Gradient Methods | Oct 21, 2017 | regression | —Unverified | 0 | 0 |
| Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces | Jan 20, 2018 | regression | —Unverified | 0 | 0 |
| Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms | May 23, 2024 | regression | —Unverified | 0 | 0 |
| Optimal rates of approximation by shallow ReLU^k neural networks and applications to nonparametric regression | Apr 4, 2023 | regression | —Unverified | 0 | 0 |
| Optimal Rates of Distributed Regression with Imperfect Kernels | Jun 30, 2020 | regression | —Unverified | 0 | 0 |
| Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions | Jan 2, 2024 | regression | —Unverified | 0 | 0 |
| Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces | Mar 12, 2018 | regression | —Unverified | 0 | 0 |
| Optimal Ratio for Data Splitting | Feb 7, 2022 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Optimal Regularization Can Mitigate Double Descent | Mar 4, 2020 | regression | —Unverified | 0 | 0 |
| Optimal Robust Linear Regression in Nearly Linear Time | Jul 16, 2020 | regression | —Unverified | 0 | 0 |
| Optimal Sampling Density for Nonparametric Regression | May 25, 2021 | Active Learningregression | —Unverified | 0 | 0 |
| Optimal Scoring for Unsupervised Learning | Dec 1, 2009 | ClusteringGeneral Classification | —Unverified | 0 | 0 |
| Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning | Nov 28, 2020 | parameter estimationregression | —Unverified | 0 | 0 |
| Optimal Sketching Bounds for Sparse Linear Regression | Apr 5, 2023 | regression | —Unverified | 0 | 0 |
| Optimal Sketching for Kronecker Product Regression and Low Rank Approximation | Sep 29, 2019 | regression | —Unverified | 0 | 0 |
| Optimal spanning tree reconstruction in symbolic regression | Jun 25, 2024 | regressionSymbolic Regression | —Unverified | 0 | 0 |