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math.OC2023
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Frederik Kunstner, Victor S. Portella, Mark Schmidt +1
The backtracking line-search is an effective technique to automatically tune the step-size in smooth optimization. It guarantees similar performance to using the theoretically opti…
math.OC2014★ 307 cited
Convex Optimization for Big Data
Volkan Cevher, Stephen Becker, Mark Schmidt
This article reviews recent advances in convex optimization algorithms for Big Data, which aim to reduce the computational, storage, and communications bottlenecks. We provide an o…