Hajiesmaili, Mohammad

22 publications

NeurIPS 2025 Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms Ziwei Li, Bo Sun, Zhiqiu Zhang, Mohammad Hajiesmaili, Binghan Wu, Lin Yang, Yang Gao

ICML 2025 Fusing Reward and Dueling Feedback in Stochastic Bandits Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C.S. Lui, Adam Wierman

AAAI 2025 Heterogeneous Multi-Agent Bandits with Parsimonious Hints Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili

L4DC 2025 Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili

ICML 2025 Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron N Musco, Mohammad Hajiesmaili

AAAI 2025 Quantum Best Arm Identification with Quantum Oracles Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

ICLR 2025 Stochastic Bandits Robust to Adversarial Attacks Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili

ICML 2024 Chasing Convex Functions with Long-Term Constraints Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy

ICML 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

ICML 2024 Online Algorithms with Uncertainty-Quantified Predictions Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba

ICML 2024 Robust Learning-Augmented Dictionaries Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili

ICLR 2024 Time Fairness in Online Knapsack Problems Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili

ICLR 2023 Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui

NeurIPS 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman

ICML 2023 Applied Online Algorithms with Heterogeneous Predictors Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu

ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen

UAI 2023 Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-Agent Bandits? Xuchuang Wang, Lin Yang, Yu-zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui

NeurIPS 2023 No-Regret Algorithms for Fair Resource Allocation Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee, Cameron Musco, Mohammad Hajiesmaili

AISTATS 2023 On-Demand Communication for Asynchronous Multi-Agent Bandits Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

NeurIPS 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

NeurIPS 2021 Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems Bo Sun, Russell Lee, Mohammad Hajiesmaili, Adam Wierman, Danny Tsang

NeurIPS 2020 Adversarial Bandits with Corruptions: Regret Lower Bound and No-Regret Algorithm Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi, John C. S. Lui, Wing Shing Wong