5 citations · 11 across the 8 of their papers we have counts for
3 papers · 1 filter
Associative Convolutional Layers
Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti +1
Motivated by the necessity for parameter efficiency in distributed machine learning and AI-enabled edge devices, we provide a general and easy to implement method for significantly…
Unifying the stochastic and the adversarial Bandits with Knapsack
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
This paper investigates the adversarial Bandits with Knapsack (BwK) online learning problem, where a player repeatedly chooses to perform an action, pays the corresponding cost, an…
Online learning with feedback graphs and switching costs
Anshuka Rangi, Massimo Franceschetti
We study online learning when partial feedback information is provided following every action of the learning process, and the learner incurs switching costs for changing his actio…