Algorithmic Crowdsourcing

Algorithmic Crowdsourcing

We study algorithmic issues for combining the intelligence of human and the computing power of machine to solve the problems that are difficult to solve by either human or machine alone.

People

Publications

Talks

  • Incentives in Human Computation. Computer Science Department, Yale University. Hosted by Prof. Dan Spielman. May 7, 2015.
  • Incentives in Human Computation. Microsoft TechFest, March 26, 2015.
  • Double or Nothing: Unique Mechanism to Incentivize MTurkers to Skip. Computer Science and Engineering Department, University of Washington. Hosted by Prof. Anna Karlin. March 6, 2015. (slides)
  • Double or Nothing: Unique Mechanism to Incentivize MTurkers to Skip. Facebook, March 6, 2015.
  • Double or Nothing: Unique Mechanism to Incentivize MTurkers to Skip. Microsoft Bing, November 5, 2014.
  • Algorithmic Crowdsourcing. NIPS Workshop on Crowdsourcing: Theory, Algorithms and Applications, December 9, 2013. (slides)
  • Learning from the Wisdom of Crowds by Minimax Entropy. Amazon, July 25, 2013.
  • Learning from the Wisdom of Crowds by Minimax Entropy. UC Berkeley, Neyman Seminar, March 15, 2013. (slides)
  • Learning from the Wisdom of Crowds by Minimax Entropy. Facebook, March 14, 2013.
  • Learning from the Wisdom of Crowds by Minimax Entropy. Joint UW-Microsoft Research Machine Learning Workshop. Oct 26, 2012.

Downloads

Workshops

External people

Contact us

Denny Zhou (Microsoft Research Redmond)