2026
Causal Matrix Completion under Multiple Treatments via Mixed Synthetic Nearest Neighbors
ICML 2026poster
Synthetic Nearest Neighbors (SNN) provides a principled solution to causal matrix completion under missing-not-at-random (MNAR) by exploiting local low-rank structure through fully observed anchor submatrices. However, its effectiveness critically relies on sufficient data availability within each t…