39 citations · 101 across the 17 of their papers we have counts for
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cs.DS2019★ 1 cited
Regularized Weighted Low Rank Approximation
Frank Ban, David Woodruff, Qiuyi Zhang
The classical low rank approximation problem is to find a rank matrix (where has columns and has rows) that minimizes the Frobenius norm of . Altho…
cs.LG2019★ 39 cited
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Daniel Golovin, John Karro, Greg Kochanski +3
Zeroth-order optimization is the process of minimizing an objective , given oracle access to evaluations at adaptively chosen inputs . In this paper, we present two simple…
cs.DS2019★ 23 cited
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
Yin Tat Lee, Zhao Song, Qiuyi Zhang
Many convex problems in machine learning and computer science share the same form: \begin{align*} \min_{x} \sum_{i} f_i( A_i x + b_i), \end{align*} where are convex functions…