2 citations · 3 across the 3 of their papers we have counts for
4 papers
Hybridized Threshold Clustering for Massive Data
Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy +3
As the size of datasets become massive, many commonly-used clustering algorithms (for example, -means or hierarchical agglomerative clustering (HAC) require prohibitive comp…
Shrinkage Estimators in Online Experiments
Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon
We develop and analyze empirical Bayes Stein-type estimators for use in the estimation of causal effects in large-scale online experiments. While online experiments are generally t…
Active Matrix Factorization for Surveys
Chelsea Zhang, Sean J. Taylor, Curtiss Cobb +1
Amid historically low response rates, survey researchers seek ways to reduce respondent burden while measuring desired concepts with precision. We propose to ask fewer questions of…
Inference on a New Class of Sample Average Treatment Effects
Jasjeet S. Sekhon, Yotam Shem-Tov
We derive new variance formulas for inference on a general class of estimands of causal average treatment effects in a Randomized Control Trial (RCT). We generalize Robins (1988) a…