Alireza Fallah
11 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π Conference Polyglot (4)
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(52)
Conferences
NIPS (6)
AISTATS (2)
ICML (2)
JMLR (1)
Top co-authors
Keywords
stochastic gradient descent
(3)
convex optimization
(3)
model-agnostic meta-learning
(3)
differential privacy
(2)
stochastic gradient
(2)
accelerated gradient method
(2)
minimax optimization
(2)
gradient descent
(2)
federated learning
(2)
stochastic optimization
(1)
policy gradient
(1)
algorithm generalization
(1)
optimal transport
(1)
convergence analysis
(1)
nonconvex optimization
(1)
mixed linear regression
(1)
mechanism design
(1)
decentralized optimization
(1)
distributed learning
(1)
wasserstein distance
(1)
Papers
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
AISTATS 2025
Fair Allocation in Dynamic Mechanism Design
NIPS 2024
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
JMLR 2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
NIPS 2022
Private Adaptive Gradient Methods for Convex Optimization
ICML 2021
A Wasserstein Minimax Framework for Mixed Linear Regression
ICML 2021
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
NIPS 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
NIPS 2021
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
NIPS 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
AISTATS 2020
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
NIPS 2019