Boolean factor analysis aims at decomposing an objects × attributes Boolean matrix I into a Boolean product of an objects × factors Boolean matrix A and a factors × attributes B...
— Over the past decade, wide-area distributed computing has emerged as a powerful computing paradigm. Virtual machines greatly simplify wide-area distributed computing ing the ab...
Ananth I. Sundararaj, Manan Sanghi, John R. Lange,...
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
In this paper, we show that any n point metric space can be embedded into a distribution over dominating tree metrics such that the expected stretch of any edge is O(log n). This ...
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...