639 citations · 2.9k across the 94 of their papers we have counts for
4 papers · 2 filters
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk +2
We study the linear contextual bandit problem where an agent has to select one candidate from a pool and each candidate belongs to a sensitive group. In this setting, candidates' r…
Multi-task Representation Learning with Stochastic Linear Bandits
Leonardo Cella, Karim Lounici, Grégoire Pacreau +1
We study the problem of transfer-learning in the setting of stochastic linear bandit tasks. We consider that a low dimensional linear representation is shared across the tasks, and…
Distribution Regression with Sliced Wasserstein Kernels
Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto
The problem of learning functions over spaces of probabilities - or distribution regression - is gaining significant interest in the machine learning community. A key challenge beh…
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
We analyse a general class of bilevel problems, in which the upper-level problem consists in the minimization of a smooth objective function and the lower-level problem is to find…