3 papers
cs.LG2020
Model-specific Data Subsampling with Influence Functions
Anant Raj, Cameron Musco, Lester Mackey +1
Model selection requires repeatedly evaluating models on a given dataset and measuring their relative performances. In modern applications of machine learning, the models being con…
cs.LG2020
Subspace Embeddings Under Nonlinear Transformations
Aarshvi Gajjar, Cameron Musco
We consider low-distortion embeddings for subspaces under \emph{entrywise nonlinear transformations}. In particular we seek embeddings that preserve the norm of all vectors in a sp…
math.OC2019
Importance Sampling via Local Sensitivity
Anant Raj, Cameron Musco, Lester Mackey
Given a loss function that can be written as the sum of losses over a large set of inputs , it is often desirable to approximate $…