Online Decision Making in Crowdsourcing Markets: Theoretical Challenges
(Position Paper)

Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper)

8 August 2013

Aleksandrs Slivkins

Jennifer Wortman Vaughan

Papers citing "Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper)"

7 / 7 papers shown

Title
Combinatorial Semi-Bandits with Knapsacks Karthik Abinav Sankararaman Aleksandrs Slivkins 33 48 0 23 May 2017
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing Sabrina Klos née Müller Cem Tekin Mihaela van der Schaar A. Klein 19 35 0 10 May 2017
Linear Contextual Bandits with Knapsacks Shipra Agrawal Nikhil R. Devanur 43 142 0 24 Jul 2015
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives Shipra Agrawal Nikhil R. Devanur Lihong Li 27 90 0 10 Jun 2015
How Many Workers to Ask? Adaptive Exploration for Collecting High Quality Labels Ittai Abraham Omar Alonso Vasileios Kandylas Rajesh Patel Steven Shelford Aleksandrs Slivkins 36 24 0 01 Nov 2014
Resourceful Contextual Bandits Ashwinkumar Badanidiyuru John Langford Aleksandrs Slivkins 42 117 0 27 Feb 2014
Bandits with concave rewards and convex knapsacks Shipra Agrawal Nikhil R. Devanur 57 196 0 24 Feb 2014