e Abstraction Arie Gurfinkel1 , Ou Wei2 , and Marsha Chechik2 1 Software Engineering Institute, Carnegie Mellon University 2 Department of Computer Science, University of Toronto A...
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
In this paper, we present hthreads, a unifying programming model for specifying application threads running within a hybrid CPU/FPGA system. Threads are specified from a single p...
Erik Anderson, Jason Agron, Wesley Peck, Jim Steve...