This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
— Circuit and processor designs will continue to increase in complexity for the foreseeable future. With these increasing sizes comes the use of wide buses to move large amounts ...
Late CMOS scaling reduces device reliability, and existing work has studied the permanent SER (soft error rate) for configuration memory in FPGA extensively. In this paper, we sh...
Data-driven P2P streaming systems can potentially provide good playback rate to a large number of viewers. One important design problem in such P2P systems is to determine the opt...