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| Analysis of the expected L_2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization | Nov 24, 2023 | regression | —Unverified | 0 |
| More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory | Nov 24, 2023 | Philosophyregression | —Unverified | 0 |
| Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging | Nov 24, 2023 | Computational EfficiencyImage Reconstruction | CodeCode Available | 1 |
| Risk Bounds of Accelerated SGD for Overparameterized Linear Regression | Nov 23, 2023 | regression | —Unverified | 0 |
| Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus | Nov 23, 2023 | Bilevel OptimizationL2 Regularization | CodeCode Available | 0 |
| Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression | Nov 23, 2023 | regression | —Unverified | 0 |
| HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms | Nov 23, 2023 | DiagnosticEEG | —Unverified | 0 |
| Regressions under Adverse Conditions | Nov 22, 2023 | regressionTime Series | —Unverified | 0 |
| Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies | Nov 22, 2023 | Deep Learningregression | —Unverified | 0 |