whymomentumreallyworks

Indeed, the aspect of acceleration even for noise-free convex problems is one of the key reasons why momentum works and why it works so well. As one would ...

由 G Goh 著作 · 2017 · 被引用 181 次 — It is gradient descent which is the hack. First, momentum gives up to a quadratic speedup on many functions. 1 This is no small matter — this is similar to ...

2018年10月31日 — They documented how strategies of buying recent stock winners and selling recent losers generated significantly higher near-term returns than ...

We often think of Momentum as a means of dampening oscillations and speeding up the iterations, leading to faster convergence. But it has other interesting ...

2019年6月22日 — There are two major reasons why momentum works with gradient descent: ... Why Momentum Really Works. Here's a popular story about momentum ...

2017年4月4日 — If you want to make your analogy work, the momentum algorithm adds mass to an object. In terms of literal acceleration at any point in time it ...

2021年12月15日 — Momentum is an extension to the gradient descent optimization algorithm that builds inertia in a search direction to overcome local minima and ...

2023年2月6日 — In summary, momentum helps gradient descent optimization to converge faster and more reliably by adding a term that incorporates the past update ...

2017年9月20日 — There's a great explanation at Why Momentum Really Works . I can't do any better than to link to that.