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stat.ML2022
A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors
Nikhil Ghosh, Mikhail Belkin
In this work we establish an algorithm and distribution independent non-asymptotic trade-off between the model size, excess test loss, and training loss of linear predictors. Speci…
cs.LG2022★ 1 cited
Deconstructing Distributions: A Pointwise Framework of Learning
Gal Kaplun, Nikhil Ghosh, Saurabh Garg +2
In machine learning, we traditionally evaluate the performance of a single model, averaged over a collection of test inputs. In this work, we propose a new approach: we measure the…