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Glasgow, Margalit
9 publications
ICLR
2025
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng
,
Margalit Glasgow
COLT
2025
Mean-Field Analysis of Polynomial-Width Two-Layer Neural Network Beyond Finite Time Horizon
Margalit Glasgow
,
Denny Wu
,
Joan Bruna
NeurIPSW
2024
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng
,
Margalit Glasgow
ICLR
2024
SGD Finds Then Tunes Features in Two-Layer Neural Networks with Near-Optimal Sample Complexity: A Case Study in the XOR Problem
Margalit Glasgow
COLT
2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Kumar Kshitij Patel
,
Margalit Glasgow
,
Ali Zindari
,
Lingxiao Wang
,
Sebastian U Stich
,
Ziheng Cheng
,
Nirmit Joshi
,
Nathan Srebro
NeurIPS
2023
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Arvind Mahankali
,
Haochen Zhang
,
Kefan Dong
,
Margalit Glasgow
,
Tengyu Ma
NeurIPS
2023
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
Alex Tamkin
,
Margalit Glasgow
,
Xiluo He
,
Noah Goodman
ICLR
2023
Max-Margin Works While Large Margin Fails: Generalization Without Uniform Convergence
Margalit Glasgow
,
Colin Wei
,
Mary Wootters
,
Tengyu Ma
ICMLW
2023
On the Still Unreasonable Effectiveness of Federated Averaging for Heterogeneous Distributed Learning
Kumar Kshitij Patel
,
Margalit Glasgow
,
Lingxiao Wang
,
Nirmit Joshi
,
Nathan Srebro