Arman Adibi

According to our database, Arman Adibi authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout.

Amirhossein Dezhboro, Fateme Maleki, Arman Adibi, Erfan Amini, José Emmanuel Ramirez-Marquez

CoRR, April, 2026

Cascading Robustness Verification: Toward Efficient Model-Agnostic Certification.

Mohammadreza Maleki, Rushendra Sidibomma, Arman Adibi, Reza Samavi

CoRR, February, 2026

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

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation.

Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Finite- Time Analysis of Asynchronous Multi-Agent TD Learning.

Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas

Proceedings of the American Control Conference, 2024

Min-Max Optimization Under Delays.

Arman Adibi, Aritra Mitra, Hamed Hassani

Proceedings of the American Control Conference, 2024

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.

Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Score-Based Methods for Discrete Optimization in Deep Learning.

Eric Lei, Arman Adibi, Hamed Hassani

CoRR, 2023

2022

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds.

Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents.

Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Minimax Optimization: The Case of Convex-Submodular.

Arman Adibi, Aryan Mokhtari, Hamed Hassani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Optimal Algorithms for Submodular Maximization with Distributed Constraints.

Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Submodular Meta-Learning.

Arman Adibi, Aryan Mokhtari, Hamed Hassani

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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