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researcher

J. Sekhon

22 papers hereh-index 4110.5k citations133 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author9
  • last author12

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • stat.ME7
  • math.ST6
  • cs.CV2
  • stat.ML2
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20152025
most citedMeta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

1.1k citations · 1.5k across the 20 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

stat.ML2019

Hybridized Threshold Clustering for Massive Data

Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy +3

As the size n of datasets become massive, many commonly-used clustering algorithms (for example, k-means or hierarchical agglomerative clustering (HAC) require prohibitive comp…

stat.ME2019

Linear Aggregation in Tree-based Estimators

Sören R. Künzel, Theo F. Saarinen, Edward W. Liu +1

Regression trees and their ensemble methods are popular methods for nonparametric regression: they combine strong predictive performance with interpretable estimators. To improve t…

stat.ME2019★ 20 cited

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…

stat.AP2019★ 1 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.