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2020 – today
- 2024
[j7]Yossi Azar
, Amos Fiat, Federico Fusco:
An α-regret analysis of adversarial bilateral trade. Artif. Intell. 337: 104231 (2024)- [j6]Michal Feldman, Federico Fusco, Stefano Leonardi, Simon Mauras, Rebecca Reiffenhäuser:
Truthful Matching with Online Items and Offline Agents. Algorithmica 86(5): 1600-1622 (2024) - [j5]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
Regret Analysis of Bilateral Trade with a Smoothed Adversary. J. Mach. Learn. Res. 25: 234:1-234:36 (2024) - [j4]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
Bilateral Trade: A Regret Minimization Perspective. Math. Oper. Res. 49(1): 171-203 (2024) - [c22]Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco:
Pandora's Problem with Deadlines. AAAI 2024: 20337-20343 - [c21]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Bandits with Replenishable Knapsacks: the Best of both Worlds. ICLR 2024 - [c20]Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Consistent Submodular Maximization. ICML 2024 - [c19]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations. STOC 2024: 225-236 - [c18]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
No-Regret Learning in Bilateral Trade via Global Budget Balance. STOC 2024: 247-258 - [i28]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints. CoRR abs/2405.16118 (2024) - [i27]Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Consistent Submodular Maximization. CoRR abs/2405.19977 (2024) - [i26]Georgios Amanatidis, Federico Fusco, Rebecca Reiffenhäuser, Artem Tsikiridis:
Pandora's Box Problem Over Time. CoRR abs/2407.15261 (2024) - [i25]Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax:
Online Learning with Sublinear Best-Action Queries. CoRR abs/2407.16355 (2024) - [i24]Gagan Aggarwal, Ashwinkumar Badanidiyuru, Paul Dütting, Federico Fusco:
Selling Joint Ads: A Regret Minimization Perspective. CoRR abs/2409.07819 (2024) - 2023
- [j3]Shant Boodaghians, Federico Fusco, Philip Lazos, Stefano Leonardi:
Pandora's Box Problem with Order Constraints. Math. Oper. Res. 48(1): 498-519 (2023) - [c17]Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
Repeated Bilateral Trade Against a Smoothed Adversary. COLT 2023: 1095-1130 - [c16]Michal Feldman, Federico Fusco, Simon Mauras, Rebecca Reiffenhäuser:
Truthful Matching with Online Items and Offline Agents. ICALP 2023: 58:1-58:20 - [c15]Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Fully Dynamic Submodular Maximization over Matroids. ICML 2023: 8821-8835 - [c14]Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski:
Fairness in Streaming Submodular Maximization over a Matroid Constraint. ICML 2023: 9150-9171 - [c13]Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco:
Pandora's Problem with Combinatorial Cost. EC 2023: 273-292 - [i23]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
Repeated Bilateral Trade Against a Smoothed Adversary. CoRR abs/2302.10805 (2023) - [i22]Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco:
Pandora's Problem with Combinatorial Cost. CoRR abs/2303.01078 (2023) - [i21]Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski:
Fairness in Streaming Submodular Maximization over a Matroid Constraint. CoRR abs/2305.15118 (2023) - [i20]Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Fully Dynamic Submodular Maximization over Matroids. CoRR abs/2305.19918 (2023) - [i19]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
Bandits with Replenishable Knapsacks: the Best of both Worlds. CoRR abs/2306.08470 (2023) - [i18]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations. CoRR abs/2307.09478 (2023) - [i17]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco:
No-Regret Learning in Bilateral Trade via Global Budget Balance. CoRR abs/2310.12370 (2023) - 2022
- [j2]Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta:
Online revenue maximization for server pricing. Auton. Agents Multi Agent Syst. 36(1): 11 (2022) - [j1]Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint. J. Artif. Intell. Res. 74: 661-690 (2022) - [c12]Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Deletion Robust Submodular Maximization over Matroids. ICML 2022: 5671-5693 - [c11]Yossi Azar, Amos Fiat, Federico Fusco:
An $\alpha$-regret analysis of Adversarial Bilateral Trade. NeurIPS 2022 - [c10]Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi:
Learning on the Edge: Online Learning with Stochastic Feedback Graphs. NeurIPS 2022 - [c9]Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. SODA 2022: 1298-1325 - [i16]Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Deletion Robust Submodular Maximization over Matroids. CoRR abs/2201.13128 (2022) - [i15]Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Deletion Robust Non-Monotone Submodular Maximization over Matroids. CoRR abs/2208.07582 (2022) - [i14]Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi:
Learning on the Edge: Online Learning with Stochastic Feedback Graphs. CoRR abs/2210.04229 (2022) - [i13]Yossi Azar, Amos Fiat, Federico Fusco:
An α-regret analysis of Adversarial Bilateral Trade. CoRR abs/2210.06846 (2022) - [i12]Michal Feldman, Federico Fusco, Stefano Leonardi, Simon Mauras, Rebecca Reiffenhäuser:
Truthful Matching with Online Items and Offline Agents. CoRR abs/2211.02004 (2022) - 2021
- [c8]Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Alberto Marchetti-Spaccamela, Rebecca Reiffenhäuser:
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity. ICML 2021: 231-242 - [c7]Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi:
Beyond Bandit Feedback in Online Multiclass Classification. NeurIPS 2021: 13280-13291 - [c6]Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
A Regret Analysis of Bilateral Trade. EC 2021: 289-309 - [c5]Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Efficient two-sided markets with limited information. STOC 2021: 1452-1465 - [c4]Georgios Amanatidis, Georgios Birmpas, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness. WINE 2021: 149-166 - [i11]Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Alberto Marchetti-Spaccamela, Rebecca Reiffenhäuser:
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity. CoRR abs/2102.08327 (2021) - [i10]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
A Regret Analysis of Bilateral Trade. CoRR abs/2102.08754 (2021) - [i9]Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Prophet Inequalities for Matching with a Single Sample. CoRR abs/2104.02050 (2021) - [i8]Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi:
Beyond Bandit Feedback in Online Multiclass Classification. CoRR abs/2106.03596 (2021) - [i7]Georgios Amanatidis, Georgios Birmpas, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness. CoRR abs/2109.08644 (2021) - [i6]Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
Bilateral Trade: A Regret Minimization Perspective. CoRR abs/2109.12974 (2021) - [i5]Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. CoRR abs/2111.03174 (2021) - 2020
- [c3]Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta:
Online Revenue Maximization for Server Pricing. IJCAI 2020: 4106-4112 - [c2]Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint. NeurIPS 2020 - [c1]Shant Boodaghians, Federico Fusco, Philip Lazos, Stefano Leonardi:
Pandora's Box Problem with Order Constraints. EC 2020: 439-458 - [i4]Shant Boodaghians, Federico Fusco, Philip Lazos, Stefano Leonardi:
Pandora's Box Problem with Order Constraints. CoRR abs/2002.06968 (2020) - [i3]Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Efficient Two-Sided Markets with Limited Information. CoRR abs/2003.07503 (2020) - [i2]Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint. CoRR abs/2007.05014 (2020)
2010 – 2019
- 2019
- [i1]Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta:
Online Revenue Maximization for Server Pricing. CoRR abs/1906.09880 (2019)
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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