Aleksandrs Slivkins
Microsoft (United States)(US)Microsoft Research (United Kingdom)(GB)
Publications by Year
Research Areas
Advanced Bandit Algorithms Research, Auction Theory and Applications, Optimization and Search Problems, Machine Learning and Algorithms, Reinforcement Learning in Robotics
Most-Cited Works
- → Meridian(2005)366 cited
- → Multi-armed bandits in metric spaces(2008)333 cited
- → Contextual Bandits with Similarity Information(2009)255 cited
- → Bandits with Knapsacks(2013)213 cited
- Adapting to a Changing Environment: the Brownian Restless Bandits.(2008)
- → Incentivizing High Quality Crowdwork(2015)137 cited
- → The best of both worlds: stochastic and adversarial bandits(2012)132 cited
- → Triangulation and Embedding Using Small Sets of Beacons(2004)129 cited