Faraz Zargari — accepted AI-conference papers

2025

Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation

Seyedehkimia Alaviyar, Faraz Zargari, John Tyler, Yunwei Ryan Li, Xiaoqi Tan

IJCAI 2025

This paper introduces a novel mechanism for online allocation with multi-phase, non-separable regularizers, termed Cap-and-Penalize (CnP), inspired by real-world applications such as cap-and-tax policies in carbon pricing. The CnP regularizer models a multi-phase cost structure, imposing a monotone

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2025

Online Multi-Class Selection with Group Fairness Guarantee

Faraz Zargari, Hossein Nekouyan Jazi, Lyndon Hallett, Bo Sun, Xiaoqi Tan

NeurIPS 2025poster

We study the online multi-class selection problem with group fairness guarantees, where limited resources must be allocated to sequentially arriving agents. Our work addresses two key limitations in the existing literature. First, we introduce a novel lossless rounding scheme that ensures the integr…

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