20 citations · 20 across the 3 of their papers we have counts for
4 papers
Summary-powered prediction under distribution shift
Ivy Zhang, Dominik Rothenhaeusler
Prediction models can perform poorly when the deployment population differs from the training population. Data from the target population would help, but individual-level target da…
Predicting data value before collection: A coefficient for prioritizing sources under random distribution shift
Ivy Zhang, Dominik Rothenhäusler
Researchers often face choices between multiple data sources that differ in quality, cost, and representativeness. Which sources will most improve predictive performance? We study…
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…
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
Peter Eastman, Raimondas Galvelis, Raúl P. Peláez +22
Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use…