The problem of curve registration appears in many different areas of applications ranging from neuroscience to road traffic modeling. In the present work, we propose a nonparamet...
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
This paper proposes a new parallel execution model where programmers augment a sequential program with pieces of code called serializers that dynamically map computational operati...
Matthew D. Allen, Srinath Sridharan, Gurindar S. S...
With the advent of ubiquitous multi-core architectures, a major challenge is to simplify parallel programming. One way to tame one of the main sources of programming complexity, n...
Luis Ceze, Pablo Montesinos, Christoph von Praun, ...