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Showing 2009 · cs.LGShow all
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cs.LG2009★ 2 cited
Lower Bounds for BMRM and Faster Rates for Training SVMs
Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan
Regularized risk minimization with the binary hinge loss and its variants lies at the heart of many machine learning problems. Bundle methods for regularized risk minimization (BMR…
cs.LG2009★ 12 cited
Exponential Family Graph Matching and Ranking
James Petterson, Tiberio Caetano, Julian McAuley +1
We present a method for learning max-weight matching predictors in bipartite graphs. The method consists of performing maximum a posteriori estimation in exponential families with…