Existing algorithms for discrete partially observable Markov decision processes can at best solve problems of a few thousand states due to two important sources of intractability:...
We show that the optimal complexity of Nesterov's smooth first-order optimization algorithm is preserved when the gradient is only computed up to a small, uniformly bounded er...
In this paper we present a novel approach to describe sound mixtures which is based on a geometric viewpoint. In this approach we extend the idea of a nearest-neighbor representat...
Current techniques used in pipelining recursive filters require significant hardware complexity. These techniques attempt to preserve the exact frequency response of the origina...
Aditya Gupta, Andrew C. Singer, Naresh R. Shanbhag
Approximation has been shown to be an eective method for reducing the time and space costs of solving various oorplan area minimization problems. In this paper, we present several...