Abolfazl Hashemi
15 papers · 2019–2026 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34)
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Century Club · Bronze
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Research topics
Machine Learning
(14)
Optimization & Theory
(8)
Artificial Intelligence
(6)
Mathematics & Optimization
(5)
Learning Types · Machine Learning
(5)
Optimization
(5)
Core AI
(4)
Deep Learning
(3)
Reinforcement Learning
(3)
Methods
(3)
Learning Paradigms · Machine Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Mathematics
(2)
Computer Vision
(1)
Keywords
federated learning
(3)
distributed optimization
(2)
adversarial markov decision process
(2)
variance reduction
(2)
non-convex optimization
(2)
stochastic gradient
(2)
memorization
(2)
mixed linear regression
(1)
stochastic gradient descent
(1)
differential privacy
(1)
policy gradient
(1)
em algorithm
(1)
sequential decision making
(1)
coreset selection
(1)
computer vision
(1)
policy optimization
(1)
deep learning
(1)
expectation maximization
(1)
sample complexity
(1)
convergence analysis
(1)
Papers
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints
UAI 2026
Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments
UAI 2026
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
UAI 2026
Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning
UAI 2026
Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
UAI 2026
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
ICLR 2025
Towards Memorization Estimation: Fast, Formal and Free
ICML 2025
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
UAI 2024
Unveiling Privacy, Memorization, and Input Curvature Links
ICML 2024
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
ICML 2024
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
NeurIPS 2023
Faster non-convex federated learning via global and local momentum
UAI 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
AISTATS 2022
No-regret learning with high-probability in adversarial Markov decision processes
UAI 2021
Submodular Observation Selection and Information Gathering for Quadratic Models
ICML 2019