25 citations · 121 across the 26 of their papers we have counts for
7 papers · 1 filter
Single-Sample Prophet Inequalities via Greedy-Ordered Selection
Constantine Caramanis, Paul Dütting, Matthew Faw +6
We study single-sample prophet inequalities (SSPIs), i.e., prophet inequalities where only a single sample from each prior distribution is available. Besides a direct, and optimal,…
Bilateral Trade: A Regret Minimization Perspective
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni +2
Bilateral trade, a fundamental topic in economics, models the problem of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they h…
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness
Georgios Amanatidis, Georgios Birmpas, Federico Fusco +3
We consider the problem of fairly allocating a set of indivisible goods to a set of strategic agents with additive valuation functions. We assume no monetary transfers and, therefo…
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
We study the problem of online multiclass classification in a setting where the learner's feedback is determined by an arbitrary directed graph. While including bandit feedback as…
Prophet Inequalities for Matching with a Single Sample
Paul Dütting, Federico Fusco, Philip Lazos +2
We consider the prophet inequality problem for (not necessarily bipartite) matching problems with independent edge values, under both edge arrivals and vertex arrivals. We show con…
A Regret Analysis of Bilateral Trade
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni +2
Bilateral trade, a fundamental topic in economics, models the problem of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they h…
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis, Federico Fusco, Philip Lazos +3
Submodular maximization is a classic algorithmic problem with multiple applications in data mining and machine learning; there, the growing need to deal with massive instances moti…