ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 2.50
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%) 2.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation Numerous algorithms have been developed for Conditional Average Treatment Effect (CATE) estimation. In this paper, we first highlight an overlooked issue in CATE estimation: many algorithms exhibit in... 2.50 19% See Reviews View AI Dashboard
PreviousPage 1 of 1 (1 total rows)Next