18 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 4 cited
Model Similarity Mitigates Test Set Overuse
Horia Mania, John Miller, Ludwig Schmidt +2
Excessive reuse of test data has become commonplace in today's machine learning workflows. Popular benchmarks, competitions, industrial scale tuning, among other applications, all…
cs.LG2016★ 18 cited
Fast Algorithms for Segmented Regression
Jayadev Acharya, Ilias Diakonikolas, Jerry Li +1
We study the fixed design segmented regression problem: Given noisy samples from a piecewise linear function , we want to recover up to a desired accuracy in mean-squared er…
cs.IT2014★ 2 cited
Approximation Algorithms for Model-Based Compressive Sensing
Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
Compressive Sensing (CS) stipulates that a sparse signal can be recovered from a small number of linear measurements, and that this recovery can be performed efficiently in polynom…