2.6k citations · 8.6k across the 77 of their papers we have counts for
3 papers · 2 filters
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…
Error-Correcting Tournaments
Alina Beygelzimer, John Langford, Pradeep Ravikumar
We present a family of pairwise tournaments reducing -class classification to binary classification. These reductions are provably robust against a constant fraction of binary e…
Feature Hashing for Large Scale Multitask Learning
Kilian Weinberger, Anirban Dasgupta, Josh Attenberg +2
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bou…