D. Martínez-Rubio

most citedDecentralized Cooperative Stochastic Bandits

67 citations · 67 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2025

On the necessity of adaptive regularisation:Optimal anytime online learning on $ℓ_{p}$ -balls

Emmeran Johnson, David Martínez-Rubio, Ciara Pike-Burke +1

We study online convex optimization on $ℓ_{p}$ -balls in $R^{d}$ for $p > 2$ . While always sub-linear, the optimal regret exhibits a shift between the high-dimensional setti…

cs.LG2018★ 67 cited

Decentralized Cooperative Stochastic Bandits

David Martínez-Rubio, Varun Kanade, Patrick Rebeschini

We study a decentralized cooperative stochastic multi-armed bandit problem with $K$ arms on a network of $N$ agents. In our model, the reward distribution of each arm is the same f…

On the necessity of adaptive regularisation:Optimal anytime online learning on ℓp​-balls

Decentralized Cooperative Stochastic Bandits

On the necessity of adaptive regularisation:Optimal anytime online learning on $ℓ_{p}$ -balls