Sharpness, Restart, and Acceleration
نویسندگان
چکیده
منابع مشابه
Sharpness, Restart and Acceleration
The Łojasievicz inequality shows that sharpness bounds on the minimum of convex optimization problems hold almost generically. Here, we show that sharpness directly controls the performance of restart schemes. The constants quantifying sharpness are of course unobservable, but we show that optimal restart strategies are fairly robust, and searching for the best scheme only increases the complex...
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ژورنال
عنوان ژورنال: SIAM Journal on Optimization
سال: 2020
ISSN: 1052-6234,1095-7189
DOI: 10.1137/18m1224568