output
20102024
most citedSpectral Methods for Learning Multivariate Latent Tree Structure

41 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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4 papers · 1 filter

math.ST2018★ 16 cited

Distributed linear regression by averaging

Edgar Dobriban, Yue Sheng

Distributed statistical learning problems arise commonly when dealing with large datasets. In this setup, datasets are partitioned over machines, which compute locally, and communi…

math.ST2017

Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information

T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

We study the misclassification error for community detection in general heterogeneous stochastic block models (SBM) with noisy or partial label information. We establish a connecti…

math.ST2017★ 10 cited

Two-sample instrumental variable analyses using heterogeneous samples

Qingyuan Zhao, Jingshu Wang, Jack Bowden +1

Instrumental variable analysis is a widely used method to estimate causal effects in the presence of unmeasured confounding. When the instruments, exposure and outcome are not meas…

math.ST2016★ 6 cited

Models as Approximations II: A Model-Free Theory of Parametric Regression

Andreas Buja, Lawrence Brown, Arun Kumar Kuchibhotla +3

We develop a model-free theory of general types of parametric regression for iid observations. The theory replaces the parameters of parametric models with statistical functionals,…