| Factor Fields: A Unified Framework for Neural Fields and Beyond | Feb 2, 2023 | NeRFregression | CodeCode Available | 2 |
| Bayes-optimal Learning of Deep Random Networks of Extensive-width | Feb 1, 2023 | Formregression | —Unverified | 0 |
| Learning Functional Transduction | Feb 1, 2023 | regression | CodeCode Available | 0 |
| Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls | Feb 1, 2023 | regression | —Unverified | 0 |
| Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression | Feb 1, 2023 | regression | —Unverified | 0 |
| A Nearly-Optimal Bound for Fast Regression with _ Guarantee | Feb 1, 2023 | regression | —Unverified | 0 |
| Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression | Feb 1, 2023 | regressionSymbolic Regression | —Unverified | 0 |
| Dictionary-based Manifold Learning | Feb 1, 2023 | regression | CodeCode Available | 0 |
| Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond | Jan 31, 2023 | regression | —Unverified | 0 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 |