Publications

Publications in reversed chronological order.

2026

  1. SODA 26
    Robust Equilibria in Shared Resource Allocation via Strengthening Border’s Theorem
    David X. Lin, Siddhartha Banerjee, Giannis Fikioris, and Éva Tardos
    SODA 2026, Symposium on Discrete Algorithms
    PDF
  2. ITCS 26
    Robust Resource Allocation via Competitive Subsidies
    David X. Lin, Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos
    ITCS 2026, Innovations in Theoretical Computer Science

2025

  1. EC 25
    Learning in Budgeted Auctions with Spacing Objectives
    Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Raunak Kumar, Yishay Mansour, and Éva Tardos
    EC 2025, ACM Conference on Economics and Computation
    LINK PDF
  2. EC 25
    Beyond Worst-Case Online Allocation via Dynamic Max-min Fairness
    Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos
    EC 2025, ACM Conference on Economics and Computation
    LINK PDF
  3. COLT 23
    Math of OR
    Approximately Stationary Bandits with Knapsacks
    Giannis Fikioris and Éva Tardos
    COLT 2023, Conference on Learning Theory
    Mathematics of Operations Research (accepted 2025)
    LINK PDF
  4. WWW 25
    No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints
    Gagan Aggarwal, Giannis Fikioris, and Mingfei Zhao
    WWW 2025, ACM Web Conference
    LINK PDF
  5. SIGMETRICS 25
    Allocating Public Goods via Dynamic Max-Min Fairness: Long-Run Behavior and Competitive Equilibria
    Chido Onyeze, Siddhartha Banerjee, Giannis Fikioris, and Éva Tardos
    SIGMETRICS 2025, ACM Conference on Measurement and Modeling of Computer Systems
    LINK PDF
  6. IJCAI 25
    Online Resource Sharing: Better Robust Guarantees via Randomized Strategies
    David X. Lin, Daniel Hall, Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos
    IJCAI-25, International Joint Conference on Artificial Intelligence
    LINK PDF

2024

  1. EC 23
    Math of OR
    Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions
    Giannis Fikioris and Éva Tardos
    EC 2023, ACM Conference on Economics and Computation
    Mathematics of Operations Research (accepted 2024)
    LINK PDF
  2. SAGT 24
    Incentives in Dominant Resource Fair Allocation Under Dynamic Demands
    Giannis Fikioris, Rachit Agarwal, and Éva Tardos
    SAGT 2024, Symposium on Algorithmic Game Theory
    LINK PDF

2023

  1. EC 23
    Robust Pseudo-Markets for Reusable Public Resources
    Siddhartha Banerjee, Giannis Fikioris, and Éva Tardos
    EC 2023, ACM Conference on Economics and Computation
    LINK PDF
  2. OSDI 23
    Karma: Resource Allocation for Dynamic Demands
    Midhul Vuppalapati, Giannis Fikioris, Rachit Agarwal, Asaf Cidon, Anurag Khandelwal, and Éva Tardos
    OSDI 2023, USENIX Symposium on Operating Systems Design and Implementation
    LINK PDF
  3. Semigroup Forum
    An extension to “A subsemigroup of the rook monoid”
    George Fikioris and Giannis Fikioris
    Semigroup Forum (accepted 2023)
    LINK PDF

2022

  1. SAGT ’22
    ToCS
    Mechanism Design for Perturbation Stable Combinatorial Auctions
    Giannis Fikioris and Dimitris Fotakis
    Theory of Computing Systems
    SAGT 2020, Symposium on Algorithmic Game Theory
    LINK PDF
  2. Semigroup Forum
    A subsemigroup of the rook monoid
    George Fikioris and Giannis Fikioris
    Semigroup Forum (accepted 2022)
    LINK PDF
  3. GeoInformatica
    Optimizing vessel trajectory compression for maritime situational awareness
    Giannis Fikioris, Kostas Patroumpas, Alexander Artikis, Manolis Pitsikalis, and Georgios Paliouras
    GeoInformatica (accepted 2022)
    LINK PDF

2020

  1. CIKM 20
    Fine-Tuned Compressed Representations of Vessel Trajectories
    Giannis Fikioris, Kostas Patroumpas, Alexander Artikis, Georgios Paliouras, and Manolis Pitsikalis
    CIKM 2020, ACM Conference on Information and Knowledge Management
    LINK PDF
  2. MDM 20
    Optimizing Vessel Trajectory Compression
    Giannis Fikioris, Kostas Patroumpas, and Alexander Artikis
    MDM 2020, IEEE Conference on Mobile Data Management
    LINK PDF