Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
—CMOS scaling has long been a source of dramatic performance gains. However, semiconductor feature size reduction has resulted in increasing levels of operating temperatures and ...
Shantanu Gupta, Shuguang Feng, Amin Ansari, Scott ...
This paper reports on the development and application of strategies and tools for geographic information seeking and knowledge building that leverages unstructured text resources ...
Brian M. Tomaszewski, Justine Blanford, Kevin Ross...
As the importance and the value of exchanged data over the Internet or other media types are increasing, the search for the best solution to offer the necessary protection against...
Diaa Salama Abdul Minaam, Hatem M. Abdual-Kader, M...
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
Fabrizio Dabbene, P. S. Shcherbakov, Boris T. Poly...