Search Results for author: Martin Zinkevich

Found 5 papers, 2 papers with code

Safe Exploration for Identifying Linear Systems via Robust Optimization

no code implementations30 Nov 2017 Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans

Motivated by the cooling of Google's data centers, we study how one can safely identify the parameters of a system model with a desired accuracy and confidence level.

Safe Exploration

Parallelized Stochastic Gradient Descent

no code implementations NeurIPS 2010 Martin Zinkevich, Markus Weimer, Lihong Li, Alex J. Smola

With the increase in available data parallel machine learning has become an increasingly pressing problem.

Slow Learners are Fast

no code implementations NeurIPS 2009 Martin Zinkevich, John Langford, Alex J. Smola

Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems.

online learning

Monte Carlo Sampling for Regret Minimization in Extensive Games

1 code implementation NeurIPS 2009 Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael Bowling

In the domain of poker, CFR has proven effective, particularly when using a domain-specific augmentation involving chance outcome sampling.

Decision Making

Computing Robust Counter-Strategies

1 code implementation NeurIPS 2007 Michael Johanson, Martin Zinkevich, Michael Bowling

Adaptation to other initially unknown agents often requires computing an effective counter-strategy.

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