We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...
Anirban Dasgupta, John E. Hopcroft, Jon M. Kleinbe...
We introduce the notion of a Canonical Tester for a class of properties on distributions, that is, a tester strong and general enough that “a distribution property in the class ...
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
We study a version of the β-assignment problem [3] on asynchronous rings: consider a set of items and a set of m colors, where each item is associated to one color. Consider also...
Gianluca De Marco, Mauro Leoncini, Manuela Montang...
We consider several approaches for reducing the complexity and power dissipation in processors that use separate register file to maintain the commited register values. The first ...
Gurhan Kucuk, Oguz Ergin, Dmitry Ponomarev, Kanad ...