We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Differential privacy is a notion of confidentiality that protects the privacy of individuals while allowing useful computations on their private data. Deriving differential priva...
Dynamic Binary Translators (DBT) and Dynamic Binary Optimization (DBO) by software are used widely for several reasons including performance, design simplification and virtualiza...
Demos Pavlou, Enric Gibert, Fernando Latorre, Anto...
As we are surrounded by an ever-larger variety of post-PC devices, the traditional methods for identifying and authenticating users have become cumbersome and time-consuming. In t...
Tam Vu, Akash Baid, Simon Gao, Marco Gruteser, Ric...
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...