In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
In this paper, we design the optimal precoding matrices for amplify-and-forward (AF) multiple-input multipleoutput (MIMO) relay networks. Specifically, we consider a dualhop relay ...
Abstract. Scheduling problems in the forest industry have received significant attention in the recent years and have contributed many challenging applications for optimization te...
Nizar El Hachemi, Michel Gendreau, Louis-Martin Ro...
We present a dual decomposition approach to the treereweighted belief propagation objective. Each tree in the tree-reweighted bound yields one subproblem, which can be solved with...
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...