21 citations · 119 across the 23 of their papers we have counts for
4 papers · 1 filter
Surrogate-powered Causal Inference with Censored Outcomes
Yaroslav Mukhin, Tereza Oprea, Arielle Anderer +2
Clinical trials with survival endpoints lose information when participants are censored before death is observed. We develop target-preserving estimators that use posttreatment dis…
Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtration
Chunyin Siu, Gennady Samorodnitsky, Christina Lee Yu +1
A novel topological-data-analytical (TDA) method is proposed to distinguish, from noise, small holes surrounded by high-density regions of a probability density function. The propo…
Iterative Collaborative Filtering for Sparse Matrix Estimation
Christian Borgs, Jennifer Chayes, Devavrat Shah +1
We consider sparse matrix estimation where the goal is to estimate an matrix from noisy observations of a small subset of its entries. We analyze the estimation error o…
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model
Yihua Li, Devavrat Shah, Dogyoon Song +1
We consider the setup of nonparametric {\em blind regression} for estimating the entries of a large matrix, when provided with a small, random fraction of noisy measur…