Recent years have seen extensive investigation of the information aggregation properties of prediction markets. However, relatively little is known about conditions under which a ...
Krishnamurthy Iyer, Ramesh Johari, Ciamac Cyrus Mo...
Buffer insertion is an effective approach to achieve both minimal clock signal delay and skew in high speed VLSI circuit design. In this paper, we develop an optimal buffer ins...
Restoring binary images is a problem which arises in various application fields. In our paper, this problem is considered in a variational framework: the sought-after solution min...
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...