—Data encryption and decryption are common operations in a network based application programs with security. In order to keep pace with the input data rate in such applications, ...
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
To reduce manufacturing variation due to chemicalmechanical polishing and to improve yield, layout must be made uniform with respect to density criteria. This is achieved by layou...
Andrew B. Kahng, Gabriel Robins, Anish Singh, Alex...
In this paper, we introduce DLoVe, a new paradigm for designing and implementing distributed and nondistributed virtual reality applications, using one-way constraints. DLoVe allo...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...