Polyak Averaging

GeneralIntroduced 19913 papers

Description

Polyak Averaging is an optimization technique that sets final parameters to an average of (recent) parameters visited in the optimization trajectory. Specifically if in tt iterations we have parameters θ_1,θ_2,,θ_t\theta\_{1}, \theta\_{2}, \dots, \theta\_{t}, then Polyak Averaging suggests setting

θ_t=1t_iθ_i\theta\_t =\frac{1}{t}\sum\_{i}\theta\_{i}

Image Credit: Shubhendu Trivedi & Risi Kondor

Papers Using This Method