38 citations · 39 across the 3 of their papers we have counts for
3 papers
Learning with the Weighted Trace-norm under Arbitrary Sampling Distributions
Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir +1
We provide rigorous guarantees on learning with the weighted trace-norm under arbitrary sampling distributions. We show that the standard weighted trace-norm might fail when the sa…
Domain Adaptation: Overfitting and Small Sample Statistics
Dean Foster, Sham Kakade, Ruslan Salakhutdinov
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample do…
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…