20 citations · 27 across the 4 of their papers we have counts for
4 papers
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
Luke W. Miratrix, Stefan Wager, Jose R. Zubizarreta
A prevailing challenge in the biomedical and social sciences is to estimate a population mean from a sample obtained with unknown selection probabilities. Using a well-known ratio…
The Statistics of Streaming Sparse Regression
Jacob Steinhardt, Stefan Wager, Percy Liang
We present a sparse analogue to stochastic gradient descent that is guaranteed to perform well under similar conditions to the lasso. In the linear regression setup with irrepresen…
Confidence Areas for Fixed-Effects PCA
Julie Josse, Stefan Wager, François Husson
PCA is often used to visualize data when the rows and the columns are both of interest. In such a setting there is a lack of inferential methods on the PCA output. We study the asy…
Altitude Training: Strong Bounds for Single-Layer Dropout
Stefan Wager, William Fithian, Sida Wang +1
Dropout training, originally designed for deep neural networks, has been successful on high-dimensional single-layer natural language tasks. This paper proposes a theoretical expla…