2 citations · 5 across the 7 of their papers we have counts for
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stat.ME2024
Adaptive Forward Stepwise Regression
Ivy Zhang, Robert Tibshirani
This paper proposes a sparse regression method that continuously interpolates between Forward Stepwise selection (FS) and the LASSO. When tuned appropriately, our solutions are muc…
cs.LG2024
Semiparametric conformal prediction
Ji Won Park, Robert Tibshirani, Kyunghyun Cho
Many risk-sensitive applications require well-calibrated prediction sets over multiple, potentially correlated target variables, for which the prediction algorithm may report corre…
stat.ME2024★ 2 cited
Pretraining and the Lasso
Erin Craig, Mert Pilanci, Thomas Le Menestrel +7
Pretraining is a popular and powerful paradigm in machine learning to pass information from one model to another. As an example, suppose one has a modest-sized dataset of images of…