How can machines and people work together to accomplish what neither can alone? Our research focuses on problems at the interplay of learning and incentives in
. Motivated by applications in community sensing, human computation, citizen science and crowdsourcing, we focus on particular technical challenges such as: How to optimally design incentives for learning / information gathering? How can one piece together a global picture from large numbers of noisy observations of a priori unknown quality?
We address these fundamental questions by building on state of the art results in machine learning, probabilistic modeling and game theory. Our research spans various application domains, including community sensing systems for
, rebalancing bike sharing systems by steering the behavior of the users, incentivizing users for privacy-tradeoff in information elicitation, teaching and training crowd workers, exploring social aspects of crowdsourcing, and learning optimal pricing policies for online crowdsourcing marketplaces.
2022 |
|
2018 |
|
2017 |
|
|
- Proper Proxy Scoring Rules
- J. Witkowski, P. Atanasov, L. H. Ungar, A. Krause
- In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17), 2017
- forthcoming
|
2016 |
|
|
|
|
2015 |
|
- Learning to Hire Teams
- A. Singla, E. Horvitz, P. Kohli, A. Krause
- In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), short paper, 2015
|
|
|
|
|
2014 |
|
- Quantifying Web-Search Privacy
- A. Gervais, R. Shokri, A. Singla, S. Capkun, V. Lenders
- In Proc. ACM Conference on Computer and Communications Security (CCS), 2014
|
- Community Sense and Response Systems: Your Phone as Quake Detector
- M. Faulkner, R. Clayton, T. Heaton, K. M. Chandy, M. Kohler, J. Bunn, R. Guy, A. Liu, M. Olson, M. Cheng, A. Krause
- In Communications of the ACM, volume 57, 2014
|
|
|
- Stochastic Privacy
- A. Singla, E. Horvitz, E. Kamar, R. W. White
- In Proc. Conference on Artificial Intelligence (AAAI), 2014
|
|
|
|
2013 |
|
|
|
|
2012 |
|
2011 |
- Community Seismic Network
- R. Clayton, T. Heaton, M. Chandy, A. Krause, M. Kohler, J. Bunn, M. Olson, M. Faulkner, M. Cheng, L. Strand, R. Chandy, D. Obenshain, A. Liu, M. Aivazis, R. Guy
- In Annals of Geophysics, volume 54, 2011
|
|
|
- Crowdclustering
- R. Gomes, P. Welinder, A. Krause, P. Perona
- In Proc. Neural Information Processing Systems (NeurIPS), 2011
|
2010 |
|
|
|
2008 |
|
- Toward Community Sensing
- A. Krause, E. Horvitz, A. Kansal, F. Zhao
- In Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2008
|