98 citations · 291 across the 38 of their papers we have counts for
3 papers · 1 filter
Learning over Multitask Graphs -- Part II: Performance Analysis
Roula Nassif, Stefan Vlaski, Cedric Richard +1
Part I of this paper formulated a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subjec…
Learning over Multitask Graphs -- Part I: Stability Analysis
Roula Nassif, Stefan Vlaski, Cedric Richard +1
This paper formulates a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subject to a smo…
Stochastic Learning under Random Reshuffling with Constant Step-sizes
Bicheng Ying, Kun Yuan, Stefan Vlaski +1
In empirical risk optimization, it has been observed that stochastic gradient implementations that rely on random reshuffling of the data achieve better performance than implementa…