Private Information Retrieval (PIR) protocols allow users to learn data items stored at a server which is not fully trusted, without disclosing to the server the particular data e...
Ning Shang, Gabriel Ghinita, Yongbin Zhou, Elisa B...
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...