Research map / Learning theory and algorithms / Matrix and tensor methods
Wavelet regression and additive models for irregularly spaced data
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use reverse interpolation from regular-grid fitted values to the observed irregular covariates | waveMesh · Univariate regression simulations | MSE | Mixed |
| Use waveMesh rather than AMlet for additive regression | Additive simulation · n=64 | MSE: 10.76 (0.31) vs 100.48 (1.83) | Helped |
| Use waveMesh rather than AMlet for additive regression | Additive simulation · n=100, 128, 256, 500, 512 | MSE: 11.35 (0.33) vs 34.58 (1.05); 8.82 (0.24) vs 45.49 (1.09); 5.45 (0.11) vs 19.57 (0.33); 4.34 (0.08) vs 10.67 (0.12); 4.0 | Helped |
| Use waveMesh rather than AMlet for additive prediction | Boston housing · Boston housing test set | test error: 21.2 (standard error 0.34) vs 25.1 (standard error 0.42) | Helped |
| Reduce the grid size to K=2^5 or K=2^6 (ablation) | waveMesh · Univariate simulations | MSE: 0.66 vs 0.70 (Sine, n=256); 4.81 vs 3.47 (Bumps, n=256) | Mixed |
| Use a weighted l1 penalty by wavelet resolution level (ablation) | waveMesh · Prediction error simulations | prediction error | Helped |
Closest papers by meaning
- Sparse Shrunk Additive Models (ICML 2020 · similarity 0.87)
- Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap (NeurIPS 2025 · similarity 0.86)
- Robust Sparse Regression with Non-Isotropic Designs (NeurIPS 2024 · similarity 0.85)
- Minimax Adaptive Online Nonparametric Regression over Besov spaces (NeurIPS 2025 · similarity 0.84)
- High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch (NeurIPS 2026 · similarity 0.84)
- Beyond Scores: Proximal Diffusion Models (NeurIPS 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.