137 citations · 650 across the 48 of their papers we have counts for
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cs.DS2022
Online and Bandit Algorithms Beyond Norms
Thomas Kesselheim, Marco Molinaro, Sahil Singla
Vector norms play a fundamental role in computer science and optimization, so there is an ongoing effort to generalize existing algorithms to settings beyond and $\el…
cs.DS2022
Online Demand Scheduling with Failovers
Konstantina Mellou, Marco Molinaro, Rudy Zhou
Motivated by cloud computing applications, we study the problem of how to optimally deploy new hardware subject to both power and robustness constraints. To model the situation obs…
cs.LG2022
Time-Constrained Learning
Sergio Filho, Eduardo Laber, Pedro Lazera +1
Consider a scenario in which we have a huge labeled dataset and a limited time to train some given learner using . Since we may not be able to use the whole da…