ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 3.33 |
| 10-30% | 0 (0%) | N/A |
| 30-50% | 0 (0%) | N/A |
| 50-70% | 0 (0%) | N/A |
| 70-90% | 0 (0%) | N/A |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 3.33 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data | Robust high-dimensional classification under heavy-tailed distributions without losing efficiency, is a central challenge in modern statistics and machine learning. However, most existing linear discr... | 3.33 | 0% | See Reviews | View AI Dashboard |