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Arman Adibi
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Journal Articles
- 2019
- [j1]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): 4707-4719 (2019)
Conference and Workshop Papers
- 2024
- [c8]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: 2746-2754 - [c7]Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization Under Delays. ACC 2024: 80-85 - [c6]Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas:
Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. ACC 2024: 2090-2097 - 2022
- [c5]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Minimax Optimization: The Case of Convex-Submodular. AISTATS 2022: 3556-3580 - [c4]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC 2022: 4179-4184 - [c3]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS 2022 - 2021
- [c2]Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC 2021: 150-162 - 2020
- [c1]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Submodular Meta-Learning. NeurIPS 2020
Informal and Other Publications
- 2024
- [i11]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 abs/2402.11800 (2024) - [i10]Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas:
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR abs/2403.17247 (2024) - [i9]Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas:
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR abs/2407.20441 (2024) - 2023
- [i8]Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization under Delays. CoRR abs/2307.06886 (2023) - [i7]Eric Lei, Arman Adibi, Hamed Hassani:
Score-Based Methods for Discrete Optimization in Deep Learning. CoRR abs/2310.09890 (2023) - 2022
- [i6]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR abs/2204.03187 (2022) - [i5]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR abs/2206.02834 (2022) - 2021
- [i4]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Minimax Optimization: The Case of Convex-Submodular. CoRR abs/2111.01262 (2021) - 2020
- [i3]Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Submodular Meta-Learning. CoRR abs/2007.05852 (2020) - 2019
- [i2]Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica:
Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach. CoRR abs/1908.00160 (2019) - [i1]Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR abs/1909.13676 (2019)
Coauthor Index
aka: Hamed Hassani
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