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Aryan Mokhtari
Aryan Mokhtari
1
Affiliations
Affiliations
University of Texas at Austin
16
papers
281
total citations
papers (16)
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
NEURIPS 2022
arXiv
118
citations
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
NEURIPS 2021
arXiv
56
citations
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
NEURIPS 2021
arXiv
29
citations
Task-Robust Model-Agnostic Meta-Learning
NEURIPS 2020
arXiv
14
citations
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
ICML 2024
arXiv
13
citations
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
NEURIPS 2023
arXiv
13
citations
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
NEURIPS 2023
arXiv
12
citations
On the Crucial Role of Initialization for Matrix Factorization
ICLR 2025
arXiv
11
citations
Submodular Meta-Learning
NEURIPS 2020
arXiv
5
citations
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
NEURIPS 2021
arXiv
4
citations
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
NEURIPS 2023
arXiv
3
citations
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
NEURIPS 2025
arXiv
2
citations
Learning Mixtures of Experts with EM: A Mirror Descent Perspective
ICML 2025
arXiv
1
citations
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking
NEURIPS 2020
0
citations
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
NEURIPS 2020
0
citations
Provable Meta-Learning with Low-Rank Adaptations
NEURIPS 2025
arXiv
0
citations