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math.ST2021★ 1 cited
Approximately low-rank recovery from noisy and local measurements by convex program
Kiryung Lee, Rakshith Sharma Srinivasa, Marius Junge +1
Low-rank matrix models have been universally useful for numerous applications, from classical system identification to more modern matrix completion in signal processing and statis…
stat.ML2021
Max-Linear Regression by Convex Programming
Seonho Kim, Sohail Bahmani, Kiryung Lee
We consider the multivariate max-linear regression problem where the model parameters need to be estimated from inde…