289 citations · 1.2k across the 72 of their papers we have counts for
4 papers · 1 filter
Relax but stay in control: from value to algorithms for online Markov decision processes
Peng Guan, Maxim Raginsky, Rebecca Willett
Online learning algorithms are designed to perform in non-stationary environments, but generally there is no notion of a dynamic state to model constraints on current and future ac…
Online Optimization in Dynamic Environments
Eric C. Hall, Rebecca M. Willett
High-velocity streams of high-dimensional data pose significant "big data" analysis challenges across a range of applications and settings. Online learning and online convex progra…
Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
This paper describes a coded aperture and keyed exposure approach to compressive video measurement which admits a small physical platform, high photon efficiency, high temporal res…
Dynamical Models and Tracking Regret in Online Convex Programming
Eric C. Hall, Rebecca M. Willett
This paper describes a new online convex optimization method which incorporates a family of candidate dynamical models and establishes novel tracking regret bounds that scale with…