13 citations · 17 across the 6 of their papers we have counts for
1 paper · 1 filter
Benjamin Moseley, Heather Newman, Kirk Pruhs +1
A common theme in stochastic optimization problems is that, theoretically, stochastic algorithms need to "know" relatively rich information about the underlying distributions. This…