9 citations · 24 across the 6 of their papers we have counts for
Showing 2012 · cs.LGShow all
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cs.LG2012★ 1 cited
A Geometric Algorithm for Scalable Multiple Kernel Learning
John Moeller, Parasaran Raman, Avishek Saha +1
We present a geometric formulation of the Multiple Kernel Learning (MKL) problem. To do so, we reinterpret the problem of learning kernel weights as searching for a kernel that max…
cs.LG2012★ 2 cited
Efficient Protocols for Distributed Classification and Optimization
Hal Daume, Jeff M. Phillips, Avishek Saha +1
In distributed learning, the goal is to perform a learning task over data distributed across multiple nodes with minimal (expensive) communication. Prior work (Daume III et al., 20…