Abolfazl Hashemi

96 papers A* 6A 4B 2C 5Misc 12Journal 59Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression. Trans. Mach. Learn. Res. Zhankun Luo, Abolfazl Hashemi
2026	J	`jnl`	FedSGM: A Unified Framework for Constraint Aware, Bidirectionally Compressed, Multi-Step Federated Optimization. CoRR Antesh Upadhyay, Sang Bin Moon, Abolfazl Hashemi
2026	J	`jnl`	First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints. CoRR Zhankun Luo, Antesh Upadhyay, Sang Bin Moon, Abolfazl Hashemi
2026	J	`jnl`	Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments. CoRR Ege C. Kaya, Mahsa Ghasemi, Abolfazl Hashemi
2026	J	`jnl`	Learning to Localize Leakage of Cryptographic Sensitive Variables. Trans. Mach. Learn. Res. Jimmy Gammell, Anand Raghunathan, Abolfazl Hashemi, Kaushik Roy
2026	J	`jnl`	RAMPAGE: RAndomized Mid-Point for debiAsed Gradient Extrapolation. CoRR Abolfazl Hashemi
2025	J	`jnl`	A Unified Model for Large-Scale Inexact Fixed-Point Iteration: A Stochastic Optimization Perspective. IEEE Trans. Autom. Control. Abolfazl Hashemi
2025	J	`jnl`	Accelerated Distributed Stochastic Nonconvex Optimization Over Time-Varying Directed Networks. IEEE Trans. Autom. Control. Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2025	J	`jnl`	An advanced 3D continuum finite element model for field-scale in-situ stress simulation of rock media. Simul. Model. Pract. Theory Atefeh Dargahizarandi, Hossein Masoumi, Abolfazl Hashemi, Biswachetan Saha, Hamid Roshan
2025	A*	`conf`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. ICLR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton
2025	J	`jnl`	Building Machine Learning Challenges for Anomaly Detection in Science. CoRR Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, Janghyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem
2025	J	`jnl`	Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression. CoRR Zhankun Luo, Abolfazl Hashemi
2025	J	`jnl`	Learning to Localize Leakage of Cryptographic Sensitive Variables. CoRR Jimmy Gammell, Anand Raghunathan, Abolfazl Hashemi, Kaushik Roy
2025	J	`jnl`	Randomized greedy methods for weak submodular sensor selection with robustness considerations. Autom. Ege C. Kaya, Michael Hibbard, Takashi Tanaka, Ufuk Topcu, Abolfazl Hashemi
2025	B	`conf`	Strong Antithetic Variance Reduction Inequalities. ISIT Abolfazl Hashemi, Dongmin Lee, Anuran Makur
2025	J	`jnl`	Structural Properties, Cycloid Trajectories and Non-Asymptotic Guarantees of EM Algorithm for Mixed Linear Regression. CoRR Zhankun Luo, Abolfazl Hashemi
2025	A*	`conf`	Towards Memorization Estimation: Fast, Formal and Free. ICML Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
2024	J	`jnl`	Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. CoRR Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2024	J	`jnl`	AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. CoRR Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
2024	J	`jnl`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
2024	B	`conf`	Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing. IEEE Big Data Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2024	—	`conf`	Equitable Client Selection in Federated Learning via Truncated Submodular Maximization. CDC Andrés C. Castillo J., Ege C. Kaya, Lintao Ye, Abolfazl Hashemi
2024	J	`jnl`	Equitable Federated Learning with Activation Clustering. CoRR Antesh Upadhyay, Abolfazl Hashemi
2024	J	`jnl`	FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis. CoRR Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2024	J	`jnl`	Localized Distributional Robustness in Submodular Multi-Task Subset Selection. CoRR Ege C. Kaya, Abolfazl Hashemi
2024	J	`jnl`	Localized Distributional Robustness in Submodular Multi-Task Subset Selection. IEEE Trans. Signal Process. Ege C. Kaya, Abolfazl Hashemi
2024	J	`jnl`	No-Regret Learning in Dynamic Stackelberg Games. IEEE Trans. Autom. Control. Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu
2024	A	`conf`	Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes. UAI Sang Bin Moon, Abolfazl Hashemi
2024	J	`jnl`	Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes. CoRR Sang Bin Moon, Abolfazl Hashemi
2024	J	`jnl`	Randomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations. CoRR Ege C. Kaya, Michael Hibbard, Takashi Tanaka, Ufuk Topcu, Abolfazl Hashemi
2024	J	`jnl`	Submodular Maximization Approaches for Equitable Client Selection in Federated Learning. CoRR Andrés Catalino Castillo Jiménez, Ege C. Kaya, Lintao Ye, Abolfazl Hashemi
2024	A*	`conf`	Unveiling Privacy, Memorization, and Input Curvature Links. ICML Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
2024	J	`jnl`	Unveiling Privacy, Memorization, and Input Curvature Links. CoRR Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
2024	A*	`conf`	Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression. ICML Zhankun Luo, Abolfazl Hashemi
2024	J	`jnl`	Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression. CoRR Zhankun Luo, Abolfazl Hashemi
2023	Misc	`conf`	Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. ICASSP Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2023	Misc	`conf`	Communication-Constrained Exchange of Zeroth-Order Information with Application to Collaborative Target Tracking. ICASSP Ege C. Kaya, Mehmet Berk Sahin, Abolfazl Hashemi
2023	J	`jnl`	Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications. IEEE Access Ege C. Kaya, Mehmet Berk Sahin, Abolfazl Hashemi
2023	J	`jnl`	Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications. CoRR Ege C. Kaya, Mehmet Berk Sahin, Abolfazl Hashemi
2023	A*	`conf`	Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. NeurIPS Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
2023	J	`jnl`	Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. CoRR Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
2023	—	`conf`	High Probability Guarantees For Federated Learning. Allerton Sravani Ramishetty, Abolfazl Hashemi
2023	Misc	`conf`	High Probability Guarantees for Submodular Maximization via Boosted Stochastic Greedy. ACSSC Andrés C. Castillo J., Ege C. Kaya, Abolfazl Hashemi
2023	J	`jnl`	Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise. IEEE Access Antesh Upadhyay, Abolfazl Hashemi
2023	J	`jnl`	Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise. CoRR Antesh Upadhyay, Abolfazl Hashemi
2023	Misc	`conf`	Noisy Communication of Information in Federated Learning: An Improved Convergence Analysis. ACSSC Antesh Upadhyay, Abolfazl Hashemi
2023	J	`jnl`	On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. CoRR Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2023	J	`jnl`	On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. IEEE Control. Syst. Lett. Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2023	Misc	`conf`	Predictive Estimation for Reinforcement Learning with Time-Varying Reward Functions. ACSSC Abolfazl Hashemi, Antesh Upadhyay
2023	C	`conf`	Randomized Greedy Algorithms for Sensor Selection in Large-Scale Satellite Constellations. ACC Michael Hibbard, Abolfazl Hashemi, Takashi Tanaka, Ufuk Topcu
2023	—	`conf`	Relative Entropy Regularization for Robust Submodular Multi-Task Subset Selection. Allerton Ege C. Kaya, Abolfazl Hashemi
2022	J	`jnl`	Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization Over Time-Varying Directed Graphs. IEEE Trans. Autom. Control. Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2022	A	`conf`	Faster non-convex federated learning via global and local momentum. UAI Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
2022	J	`jnl`	No-Regret Learning in Dynamic Stackelberg Games. CoRR Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu
2022	J	`jnl`	On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning. IEEE Trans. Parallel Distributed Syst. Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
2022	J	`jnl`	On the Benefits of Progressively Increasing Sampling Sizes in Stochastic Greedy Weak Submodular Maximization. IEEE Trans. Signal Process. Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana
2022	A	`conf`	Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. AISTATS Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
2022	J	`jnl`	Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2021	J	`jnl`	Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs. CoRR Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2021	J	`jnl`	DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning. CoRR Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
2021	Misc	`conf`	Decentralized Optimization on Time-Varying Directed Graphs Under Communication Constraints. ICASSP Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2021	J	`jnl`	Function Approximation via Sparse Random Features. CoRR Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel A. Ward
2021	A	`conf`	No-regret learning with high-probability in adversarial Markov decision processes. UAI Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
2021	Misc	`conf`	On the Performance-Complexity Tradeoff in Stochastic Greedy Weak Submodular Optimization. ICASSP Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana
2021	C	`conf`	Online Learning with Implicit Exploration in Episodic Markov Decision Processes. ACC Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
2021	Misc	`conf`	Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations. ICASSP Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk Topcu
2021	J	`jnl`	Randomized Greedy Sensor Selection: Leveraging Weak Submodularity. IEEE Trans. Autom. Control. Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
2021	J	`jnl`	Robust Generative Adversarial Imitation Learning via Local Lipschitzness. CoRR Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu
2021	J	`jnl`	Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. CoRR Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
2020	J	`jnl`	Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs. CoRR Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
2020	C	`conf`	Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. ACC Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
2020	J	`jnl`	Improved Convergence Rates for Non-Convex Federated Learning with Compression. CoRR Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
2020	J	`jnl`	On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization. CoRR Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
2019	Misc	`conf`	A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares. ICASSP Shorya Consul, Abolfazl Hashemi, Haris Vikalo
2019	Misc	`conf`	Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data. ICASSP Abolfazl Hashemi, Haris Vikalo
2019	J	`jnl`	Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. CoRR Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
2019	C	`conf`	On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems. ACC Mahsa Ghasemi, Abolfazl Hashemi, Ufuk Topcu, Haris Vikalo
2019	—	`conf`	Online Topology Inference from Streaming Stationary Graph Signals. DSW Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo
2019	J	`jnl`	Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization. CoRR Gustavo de Veciana, Abolfazl Hashemi, Haris Vikalo
2019	A*	`conf`	Submodular Observation Selection and Information Gathering for Quadratic Models. ICML Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
2018	—	`conf`	A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2018	C	`conf`	A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. ACC Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
2018	J	`jnl`	Accelerated orthogonal least-squares for large-scale sparse reconstruction. Digit. Signal Process. Abolfazl Hashemi, Haris Vikalo
2018	J	`jnl`	Evolutionary Self-Expressive Models for Subspace Clustering. CoRR Abolfazl Hashemi, Haris Vikalo
2018	J	`jnl`	Evolutionary Self-Expressive Models for Subspace Clustering. IEEE J. Sel. Top. Signal Process. Abolfazl Hashemi, Haris Vikalo
2018	—	`conf`	Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints. CDC Abolfazl Hashemi, Osman Fatih Kiliç, Haris Vikalo
2018	Misc	`conf`	Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2017	J	`jnl`	A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. CoRR Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
2017	J	`jnl`	Accelerated Sparse Subspace Clustering. CoRR Abolfazl Hashemi, Haris Vikalo
2017	Misc	`conf`	Recovery of sparse signals via Branch and Bound Least-Squares. ICASSP Abolfazl Hashemi, Haris Vikalo
2017	J	`jnl`	Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
2017	—	`conf`	Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids. BCB Abolfazl Hashemi, Banghua Zhu, Haris Vikalo
2016	J	`jnl`	Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares. CoRR Abolfazl Hashemi, Haris Vikalo
2016	J	`jnl`	Sparse Linear Regression via Generalized Orthogonal Least-Squares. CoRR Abolfazl Hashemi, Haris Vikalo
2016	—	`conf`	Sparse linear regression via generalized orthogonal least-squares. GlobalSIP Abolfazl Hashemi, Haris Vikalo
2016	J	`jnl`	Sparse recovery via Orthogonal Least-Squares under presence of Noise. CoRR Abolfazl Hashemi, Haris Vikalo