Hashemi, Abolfazl

13 publications

TMLR 2026 Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression Zhankun Luo, Abolfazl Hashemi

ICLR 2025 Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton

NeurIPS 2025 Principled Long-Tailed Generative Modeling via Diffusion Models Pranoy Das, Kexin Fu, Abolfazl Hashemi, Vijay Gupta

ICML 2025 Towards Memorization Estimation: Fast, Formal and Free Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy

UAI 2024 Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes Sang Bin Moon, Abolfazl Hashemi

ICML 2024 Unveiling Privacy, Memorization, and Input Curvature Links Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy

ICML 2024 Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression Zhankun Luo, Abolfazl Hashemi

NeurIPS 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy

AISTATS 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

NeurIPSW 2022 Differentially Private Federated Learning with Normalized Updates Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S Dhillon

UAI 2022 Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

UAI 2021 No-Regret Learning with High-Probability in Adversarial Markov Decision Processes Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu

ICML 2019 Submodular Observation Selection and Information Gathering for Quadratic Models Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu