Back to Results
First PageMeta Content
M-estimators / Maximum likelihood / Hájek–Le Cam convolution theorem / Estimation theory / Statistics / Statistical theory


Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi† Michael I. Jordan∗
Add to Reading List

Document Date: 2014-08-20 20:23:29

Open Document

File Size: 472,44 KB

Share Result on Facebook

Company

Neural Information Processing Systems / /

/

Facility

University of California / Stanford University / /

IndustryTerm

online auctions / stochastic gradient algorithm / online and stochastic convex optimization / derivative-free algorithms / gradient algorithms / randomization-based algorithms / search engines / online learning / mirror descent algorithm / simpler comparison-based algorithms / /

OperatingSystem

Xp / /

Organization

University of California / Berkeley / Stanford University / /

Person

Martin J. Wainwright∗ Andre Wibisono / Michael I. Jordan / John C. Duchi† Michael / /

Position

player / /

ProvinceOrState

California / /

SportsLeague

Stanford University / /

Technology

gradient algorithms / mirror descent algorithm / LAN / dom / GSM / machine learning / simulation / simpler comparison-based algorithms / randomization-based algorithms / two-point stochastic gradient algorithm / 2 Algorithms / derivative-free algorithms / /

SocialTag