Arman Adibi - RankMe

23 papers A* 2A 2C 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cascading Robustness Verification: Toward Efficient Model-Agnostic Certification. CoRR Mohammadreza Maleki, Rushendra Sidibomma, Arman Adibi, Reza Samavi
2024	J	`jnl`	Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions. CoRR Arman Adibi, Sanjeev R. Kulkarni, H. Vincent Poor, Taposh Banerjee, Vahid Tarokh
2024	—	`conf`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CDC Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	J	`jnl`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	C	`conf`	Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. ACC Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
2024	J	`jnl`	Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
2024	C	`conf`	Min-Max Optimization Under Delays. ACC Arman Adibi, Aritra Mitra, Hamed Hassani
2024	A	`conf`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2023	J	`jnl`	Min-Max Optimization under Delays. CoRR Arman Adibi, Aritra Mitra, Hamed Hassani
2023	J	`jnl`	Score-Based Methods for Discrete Optimization in Deep Learning. CoRR Eric Lei, Arman Adibi, Hamed Hassani
2022	A*	`conf`	Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
2022	—	`conf`	Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
2022	A	`conf`	Minimax Optimization: The Case of Convex-Submodular. AISTATS Arman Adibi, Aryan Mokhtari, Hamed Hassani
2021	J	`jnl`	Minimax Optimization: The Case of Convex-Submodular. CoRR Arman Adibi, Aryan Mokhtari, Hamed Hassani
2021	—	`conf`	Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas
2020	A*	`conf`	Submodular Meta-Learning. NeurIPS Arman Adibi, Aryan Mokhtari, Hamed Hassani
2020	J	`jnl`	Submodular Meta-Learning. CoRR Arman Adibi, Aryan Mokhtari, Hamed Hassani
2019	J	`jnl`	Max-Min Fairness Design for MIMO Interference Channels: A Minorization-Maximization Approach. IEEE Trans. Signal Process. Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica
2019	J	`jnl`	Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach. CoRR Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica
2019	J	`jnl`	Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani