High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
In recent years, there has been an explosion of publicly available RDF and OWL web pages. Some of these pages are static text files, while others are dynamically generated from la...
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
We consider profit-maximization problems for combinatorial auctions with non-single minded valuation functions and limited supply. We obtain fairly general results that relate the ...
Khaled M. Elbassioni, Mahmoud Fouz, Chaitanya Swam...
We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network. A key feature of our model is that c...
Ozan Candogan, Kostas Bimpikis, Asuman E. Ozdaglar