33 citations · 60 across the 2 of their papers we have counts for
2 papers
cs.LG2012★ 33 cited
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien, Mark Schmidt, Francis Bach
In this note, we present a new averaging technique for the projected stochastic subgradient method. By using a weighted average with a weight of t+1 for each iterate w_t at iterati…
cs.AI2012★ 27 cited
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases
Simon Lacoste-Julien, Konstantina Palla, Alex Davies +3
The Internet has enabled the creation of a growing number of large-scale knowledge bases in a variety of domains containing complementary information. Tools for automatically align…