Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
—We present a cross-layer design of transmitting scalable video streams from a base station to multiple clients over a shared fading wireless network by jointly considering the a...
Honghai Zhang, Yanyan Zheng, Mohammad A. Khojastep...
Gossip-based protocols are commonly used for diffusing information in large-scale distributed applications. GO (Gossip Objects) is a per-node gossip platform that we developed in...
Ymir Vigfusson, Ken Birman, Qi Huang, Deepak P. Na...