Arman Adibi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Multi Armed Bandit

Stochastic Approximation

Top Venues

Publications

Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR (2024)
Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR (2024)
Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR (2024)
Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS (2024)
Eric Lei, Arman Adibi, Hamed Hassani
Score-Based Methods for Discrete Optimization in Deep Learning. CoRR (2023)
Arman Adibi, Aritra Mitra, Hamed Hassani
Min-Max Optimization under Delays. CoRR (2023)
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR (2022)
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Minimax Optimization: The Case of Convex-Submodular. AISTATS (2022)
Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR (2022)
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC (2022)
Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS (2022)
Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC (2021)
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Minimax Optimization: The Case of Convex-Submodular. CoRR (2021)
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Submodular Meta-Learning. NeurIPS (2020)
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Submodular Meta-Learning. CoRR (2020)
Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica
Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach. CoRR (2019)
Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani
Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR (2019)
Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica
Max-Min Fairness Design for MIMO Interference Channels: A Minorization-Maximization Approach. IEEE Trans. Signal Process. 67 (18) (2019)