Max-Min Fairness Design for MIMO Interference Channels: A Minorization-Maximization Approach. - Mohammad Mahdi Naghsh; Maryam Masjedi; Arman Adibi; Petre Stoica (IEEE Trans. Signal Process., 2019)

Submodular Meta-Learning. - Arman Adibi; Aryan Mokhtari; Hamed Hassani (NeurIPS, 2020)

Optimal Algorithms for Submodular Maximization with Distributed Constraints. - Alexander Robey; Arman Adibi; Brent Schlotfeldt; Hamed Hassani; George J. Pappas (L4DC, 2021)

Minimax Optimization: The Case of Convex-Submodular. - Arman Adibi; Aryan Mokhtari; Hamed Hassani (AISTATS, 2022)

Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. - Arman Adibi; Aritra Mitra; George J. Pappas; Hamed Hassani (CDC, 2022)

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. - Aritra Mitra; Arman Adibi; George J. Pappas; Hamed Hassani (NeurIPS, 2022)

Score-Based Methods for Discrete Optimization in Deep Learning. - Eric Lei; Arman Adibi; Hamed Hassani (CoRR, 2023)

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. - Arman Adibi; Nicolò Dal Fabbro; Luca Schenato 001; Sanjeev R. Kulkarni; H. Vincent Poor; George J. Pappas; Hamed Hassani; Aritra Mitra (AISTATS, 2024)

Min-Max Optimization Under Delays. - Arman Adibi; Aritra Mitra; Hamed Hassani (ACC, 2024)

Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. - Nicolò Dal Fabbro; Arman Adibi; Aritra Mitra; George J. Pappas (ACC, 2024)

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. - Nicolò Dal Fabbro; Arman Adibi; H. Vincent Poor; Sanjeev R. Kulkarni; Aritra Mitra; George J. Pappas (CDC, 2024)

Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions. - Arman Adibi; Sanjeev R. Kulkarni; H. Vincent Poor; Taposh Banerjee; Vahid Tarokh (CoRR, 2024)