The monopolist’s theory of optimal single-item auctions for agents with independent private values can be summarized by two statements. The first is from Myerson [8]: the optim...
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Abstract— Single-Symbol Maximum Likelihood (ML) decodable Distributed Orthogonal Space-Time Block Codes (DOSTBCs) have been introduced recently for cooperative networks and an up...
This paper considers the problem of selecting a subset of nodes in a two-hop wireless network to act as relays in aiding the communication between the source-destination pair. Opt...
Caleb K. Lo, Sriram Vishwanath, Robert W. Heath Jr...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...