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4 papers · 1 filter
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…
Search-based Structured Prediction
Hal Daumé, John Langford, Daniel Marcu
We present Searn, an algorithm for integrating search and learning to solve complex structured prediction problems such as those that occur in natural language, speech, computation…
Learning Nonlinear Dynamic Models
John Langford, Ruslan Salakhutdinov, Tong Zhang
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sho…
Characterizing Individual Communication Patterns
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amaral +1
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for chara…