Abolfazl Hashemi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 70

Top Topics

Markov Decision Process

Greedy Algorithm

Nonnegative Matrix Factorization

Reinforcement Learning

Top Venues

Publications

Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
Unveiling Privacy, Memorization, and Input Curvature Links. CoRR (2024)
Ege C. Kaya, Michael Hibbard, Takashi Tanaka, Ufuk Topcu, Abolfazl Hashemi
Randomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations. CoRR (2024)
Ege C. Kaya, Abolfazl Hashemi
Localized Distributional Robustness in Submodular Multi-Task Subset Selection. CoRR (2024)
Zhankun Luo, Abolfazl Hashemi
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression. CoRR (2024)
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. CoRR (2024)
Sang Bin Moon, Abolfazl Hashemi
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes. CoRR (2024)
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis. CoRR (2024)
Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR (2024)
Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu
No-Regret Learning in Dynamic Stackelberg Games. IEEE Trans. Autom. Control. 69 (3) (2024)
Michael Hibbard, Abolfazl Hashemi, Takashi Tanaka, Ufuk Topcu
Randomized Greedy Algorithms for Sensor Selection in Large-Scale Satellite Constellations. ACC (2023)
Antesh Upadhyay, Abolfazl Hashemi
Noisy Communication of Information in Federated Learning: An Improved Convergence Analysis. ACSSC (2023)
Antesh Upadhyay, Abolfazl Hashemi
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise. CoRR (2023)
Antesh Upadhyay, Abolfazl Hashemi
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise. IEEE Access 11 (2023)
Ege C. Kaya, Abolfazl Hashemi
Relative Entropy Regularization for Robust Submodular Multi-Task Subset Selection. Allerton (2023)
Ege C. Kaya, Mehmet Berk Sahin, Abolfazl Hashemi
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications. IEEE Access 11 (2023)
Abolfazl Hashemi, Antesh Upadhyay
Predictive Estimation for Reinforcement Learning with Time-Varying Reward Functions. ACSSC (2023)
Ege C. Kaya, Mehmet Berk Sahin, Abolfazl Hashemi
Communication-Constrained Exchange of Zeroth-Order Information with Application to Collaborative Target Tracking. ICASSP (2023)
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. NeurIPS (2023)
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. CoRR (2023)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. ICASSP (2023)
Andrés C. Castillo J., Ege C. Kaya, Abolfazl Hashemi
High Probability Guarantees for Submodular Maximization via Boosted Stochastic Greedy. ACSSC (2023)
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. CoRR (2023)
Sravani Ramishetty, Abolfazl Hashemi
High Probability Guarantees For Federated Learning. Allerton (2023)
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. IEEE Control. Syst. Lett. 7 (2023)
Ege C. Kaya, M. Berk Sahin, Abolfazl Hashemi
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications. CoRR (2023)
Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. AISTATS (2022)
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. 195 (2022)
Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana
On the Benefits of Progressively Increasing Sampling Sizes in Stochastic Greedy Weak Submodular Maximization. IEEE Trans. Signal Process. 70 (2022)
Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu
No-Regret Learning in Dynamic Stackelberg Games. CoRR (2022)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization Over Time-Varying Directed Graphs. IEEE Trans. Autom. Control. 67 (12) (2022)
Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
Faster non-convex federated learning via global and local momentum. UAI (2022)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs. CoRR (2021)
Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. CoRR (2021)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
No-regret learning with high-probability in adversarial Markov decision processes. UAI (2021)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Decentralized Optimization on Time-Varying Directed Graphs Under Communication Constraints. ICASSP (2021)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
Online Learning with Implicit Exploration in Episodic Markov Decision Processes. ACC (2021)
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning. CoRR (2021)
Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel Ward
Function Approximation via Sparse Random Features. CoRR (2021)
Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk Topcu
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations. ICASSP (2021)
Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana
On the Performance-Complexity Tradeoff in Stochastic Greedy Weak Submodular Optimization. ICASSP (2021)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
Randomized Greedy Sensor Selection: Leveraging Weak Submodularity. IEEE Trans. Autom. Control. 66 (1) (2021)
Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu
Robust Generative Adversarial Imitation Learning via Local Lipschitzness. CoRR (2021)
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
Improved Convergence Rates for Non-Convex Federated Learning with Compression. CoRR (2020)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. ACC (2020)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs. CoRR (2020)
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization. CoRR (2020)
Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo
Online Topology Inference from Streaming Stationary Graph Signals. DSW (2019)
Abolfazl Hashemi, Haris Vikalo
Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data. ICASSP (2019)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
Submodular Observation Selection and Information Gathering for Quadratic Models. ICML (2019)
Gustavo de Veciana, Abolfazl Hashemi, Haris Vikalo
Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization. CoRR (2019)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. CoRR (2019)
Mahsa Ghasemi, Abolfazl Hashemi, Ufuk Topcu, Haris Vikalo
On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems. ACC (2019)
Shorya Consul, Abolfazl Hashemi, Haris Vikalo
A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares. ICASSP (2019)
Abolfazl Hashemi, Haris Vikalo
Evolutionary Self-Expressive Models for Subspace Clustering. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Abolfazl Hashemi, Haris Vikalo
Evolutionary Self-Expressive Models for Subspace Clustering. CoRR (2018)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP (2018)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. ACC (2018)
Abolfazl Hashemi, Haris Vikalo
Accelerated orthogonal least-squares for large-scale sparse reconstruction. Digit. Signal Process. 82 (2018)
Abolfazl Hashemi, Osman Fatih Kiliç, Haris Vikalo
Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints. CDC (2018)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP (2018)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. CoRR (2017)
Abolfazl Hashemi, Banghua Zhu, Haris Vikalo
Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids. BCB (2017)
Abolfazl Hashemi, Haris Vikalo
Accelerated Sparse Subspace Clustering. CoRR (2017)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR (2017)
Abolfazl Hashemi, Haris Vikalo
Recovery of sparse signals via Branch and Bound Least-Squares. ICASSP (2017)
Abolfazl Hashemi, Haris Vikalo
Sparse linear regression via generalized orthogonal least-squares. GlobalSIP (2016)
Abolfazl Hashemi, Haris Vikalo
Sparse recovery via Orthogonal Least-Squares under presence of Noise. CoRR (2016)
Abolfazl Hashemi, Haris Vikalo
Sparse Linear Regression via Generalized Orthogonal Least-Squares. CoRR (2016)
Abolfazl Hashemi, Haris Vikalo
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares. CoRR (2016)