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stat.ML2023★ 1 cited
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests
Rahul Ladhania, Jann Spiess, Lyle Ungar +1
We consider learning personalized assignments to one of many treatment arms from a randomized controlled trial. Standard methods that estimate heterogeneous treatment effects separ…
stat.ML2012★ 20 cited
Spectral dimensionality reduction for HMMs
Dean P. Foster, Jordan Rodu, Lyle H. Ungar
Hidden Markov Models (HMMs) can be accurately approximated using co-occurrence frequencies of pairs and triples of observations by using a fast spectral method in contrast to the u…