13 citations · 38 across the 35 of their papers we have counts for
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cs.IT2018
Recovery guarantees for polynomial approximation from dependent data with outliers
Lam Si Tung Ho, Hayden Schaeffer, Giang Tran +1
Learning non-linear systems from noisy, limited, and/or dependent data is an important task across various scientific fields including statistics, engineering, computer science, ma…
cs.IT2018
Extracting structured dynamical systems using sparse optimization with very few samples
Hayden Schaeffer, Giang Tran, Rachel Ward +1
Learning governing equations allows for deeper understanding of the structure and dynamics of data. We present a random sampling method for learning structured dynamical systems fr…