13 citations · 18 across the 4 of their papers we have counts for
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cs.LG2022★ 1 cited
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
Robert E. Colgan, Jingkai Yan, Zsuzsa Márka +3
As our ability to sense increases, we are experiencing a transition from data-poor problems, in which the central issue is a lack of relevant data, to data-rich problems, in which…
cs.LG2021★ 3 cited
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
Junhui Zhang, Jingkai Yan, John Wright
We propose a new framework -- Square Root Principal Component Pursuit -- for low-rank matrix recovery from observations corrupted with noise and outliers. Inspired by the square ro…