GENNAPE: Towards Generalized Neural Architecture Performance Estimators

Generalized Empirical Likelihood Estimators

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

Generalized Maximum Spacing Estimators

The maximum spacing (MSP) method, introduced by Cheng and Amin (1983) and independently by Ranneby (1984), is a general method for estimating param­ eters in univariate continuous distributions and is known to give consistent and asymptotically efficient estimates under general conditions. This method can be derived from an approximation based on simple spacings of the Kullback-Leibler informat...

Multivariate generalized S-estimators

In this paper we introduce generalized S-estimators for the multivariate regression model. This class of estimators combines high robustness and high efficiency. They are defined by minimizing the determinant of a robust estimator of the scatter matrix of differences of residuals. In the special case of a multivariate location model, the generalized S-estimator has the important independence pr...

A Generalized Approach Towards Compressor Performance Analysis

Towards a High Performance Extensible Grid Architecture

Grid computing systems are being positioned as the high performance computing infrastructure of the future that will be used to solve grand challenge problems and also provide the infrastructure for wide area distributed network computing. The architecture of the Grid will determine if it will meet these challenges. We propose a Grid architecture that is secure, high performance and extensible....