We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
The unconstrained quadratic binary program (UQP) is proving to be a successful modeling and solution framework for a variety of combinatorial optimization problems. Experience rep...
Bahram Alidaee, Fred Glover, Gary A. Kochenberger,...
: The vertex coloring problem has been the subject of extensive research for many years. Driven by application potential as well as computational challenge, a variety of methods ha...
Gary A. Kochenberger, Fred Glover, Bahram Alidaee,...
Constraint Satisfaction Problems (CSP) constitute a convenient way to capture many combinatorial problems. The general CSP is known to be NP-complete, but its complexity depends on...
Motivated by the problem of querying and communicating bidders’ valuations in combinatorial auctions, we study how well different classes of set functions can be sketched. More...
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Hu Fu,...