With the increasing size and sophistication of circuits and specifically in the presence of IP blocks, new wirelength estimation methods are needed in the design flow of large-sca...
Taraneh Taghavi, Ani Nahapetian, Majid Sarrafzadeh
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
— We develop a systematic approach to incorporating uncertainty into planning manipulation tasks with frictional contacts. We consider the canonical problem of assembling a peg i...
Peng Cheng, David J. Cappelleri, Bogdan Gavrea, Vi...
All non-trivial stereo problems need model priors to deal with ambiguities and noise perturbations. To meet requirements of increasingly demanding tasks such as modeling for rende...
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...