Alireza Fallah
11 papers · 2019–2025 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Keyword Collector
(57)
Venues
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Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Learning Paradigms Β· Artificial Intelligence
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Application Areas
(3)
Core AI
(2)
Deep Learning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Differential Privacy
(1)
Learning Paradigms Β· Machine Learning
(1)
Learning Types
(1)
Keywords
convex optimization
(3)
model-agnostic meta-learning
(3)
stochastic gradient descent
(3)
differential privacy
(2)
federated learning
(2)
local differential privacy
(2)
gradient descent
(2)
accelerated gradient method
(2)
stochastic gradient
(2)
minimax optimization
(2)
stochastic optimization
(1)
policy gradient
(1)
optimal transport
(1)
convergence analysis
(1)
algorithm generalization
(1)
non-convex optimization
(1)
mixed linear regression
(1)
mechanism design
(1)
decentralized optimization
(1)
distributed learning
(1)
Papers
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
AISTATS 2025
Fair Allocation in Dynamic Mechanism Design
NeurIPS 2024
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
NeurIPS 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
JMLR 2022
A Wasserstein Minimax Framework for Mixed Linear Regression
ICML 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
NeurIPS 2021
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
NeurIPS 2021
Private Adaptive Gradient Methods for Convex Optimization
ICML 2021
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
AISTATS 2020
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
NeurIPS 2020
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
NeurIPS 2019