| 2025 | ICLR | Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. | Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton |
| 2025 | ICML | Towards Memorization Estimation: Fast, Formal and Free. | Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy |
| 2025 | ISIT | Strong Antithetic Variance Reduction Inequalities. | Abolfazl Hashemi, Dongmin Lee, Anuran Makur |
| 2024 | ICML | Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression. | Zhankun Luo, Abolfazl Hashemi |
| 2024 | ICML | Unveiling Privacy, Memorization, and Input Curvature Links. | Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy |
| 2024 | UAI | Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes. | Sang Bin Moon, Abolfazl Hashemi |
| 2023 | ACSSC | Predictive Estimation for Reinforcement Learning with Time-Varying Reward Functions. | Abolfazl Hashemi, Antesh Upadhyay |
| 2023 | ACSSC | High Probability Guarantees for Submodular Maximization via Boosted Stochastic Greedy. | Andrs C. Castillo J., Ege C. Kaya, Abolfazl Hashemi |
| 2023 | ACSSC | Noisy Communication of Information in Federated Learning: An Improved Convergence Analysis. | Antesh Upadhyay, Abolfazl Hashemi |
| 2023 | ICASSP | Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. | Yiyue Chen, Abolfazl Hashemi, Haris Vikalo |
| 2023 | ICASSP | Communication-Constrained Exchange of Zeroth-Order Information with Application to Collaborative Target Tracking. | Ege C. Kaya, Mehmet Berk Sahin, Abolfazl Hashemi |
| 2022 | AISTATS | Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. | Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2022 | UAI | Faster non-convex federated learning via global and local momentum. | Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2021 | ICASSP | Decentralized Optimization on Time-Varying Directed Graphs Under Communication Constraints. | Yiyue Chen, Abolfazl Hashemi, Haris Vikalo |
| 2021 | ICASSP | On the Performance-Complexity Tradeoff in Stochastic Greedy Weak Submodular Optimization. | Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana |
| 2021 | ICASSP | Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations. | Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk Topcu |
| 2021 | UAI | No-regret learning with high-probability in adversarial Markov decision processes. | Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu |
| 2019 | ICASSP | A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares. | Shorya Consul, Abolfazl Hashemi, Haris Vikalo |
| 2019 | ICASSP | Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data. | Abolfazl Hashemi, Haris Vikalo |
| 2019 | ICML | Submodular Observation Selection and Information Gathering for Quadratic Models. | Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu |
| 2018 | ICASSP | Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. | Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos |
| 2017 | ICASSP | Recovery of sparse signals via Branch and Bound Least-Squares. | Abolfazl Hashemi, Haris Vikalo |