201 citations · 204 across the 3 of their papers we have counts for
3 papers
cs.LG2017★ 3 cited
Safe Exploration for Identifying Linear Systems via Robust Optimization
Tyler Lu, Martin Zinkevich, Craig Boutilier +2
Safely exploring an unknown dynamical system is critical to the deployment of reinforcement learning (RL) in physical systems where failures may have catastrophic consequences. In…
cs.AI2012
On Local Regret
Michael Bowling, Martin Zinkevich
Online learning aims to perform nearly as well as the best hypothesis in hindsight. For some hypothesis classes, though, even finding the best hypothesis offline is challenging. In…
math.OC2009★ 201 cited
Slow Learners are Fast
John Langford, Alexander Smola, Martin Zinkevich
Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequentia…