Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
We give near-optimal space bounds in the streaming model for linear algebra problems that include estimation of matrix products, linear regression, low-rank approximation, and app...
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
This paper presents novel techniques for the cycle-accurate power macro-modeling of complex RTL components. The proposed techniques are based on the observation that RTL component...
Nachiketh R. Potlapally, Michael S. Hsiao, Anand R...
In this paper, we present a high-level power modeling technique to estimate the power consumption of reconfigurable devices such as complex programmable logic devices (CPLDs) and ...