1.7k citations · 1.9k across the 10 of their papers we have counts for
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cs.LG2018★ 1 cited
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou +1
Ensemble learning is a mainstay in modern data science practice. Conventional ensemble algorithms assigns to base models a set of deterministic, constant model weights that (1) do…
stat.CO2018★ 1 cited
CVEK: Robust Estimation and Testing for Nonlinear Effects using Kernel Machine Ensemble
Wenying Deng, Jeremiah Zhe Liu, Erin Lake +1
The R package CVEK introduces a suite of flexible machine learning models and robust hypothesis tests for learning the joint nonlinear effects of multiple covariates in limited sam…