Asynchronous Distributed Optimization with Randomized Delays. - Margalit Glasgow; Mary Wootters (CoRR, 2020)

Approximate Gradient Coding With Optimal Decoding. - Margalit Glasgow; Mary Wootters (IEEE J. Sel. Areas Inf. Theory, 2021)

Asynchronous Distributed Optimization with Stochastic Delays. - Margalit R. Glasgow; Mary Wootters (AISTATS, 2022)

Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective. - Margalit R. Glasgow; Honglin Yuan; Tengyu Ma 001 (AISTATS, 2022)

Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence. - Margalit Glasgow; Colin Wei; Mary Wootters; Tengyu Ma 001 (ICLR, 2023)

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. - Arvind V. Mahankali; Haochen Zhang; Kefan Dong; Margalit Glasgow; Tengyu Ma 001 (NeurIPS, 2023)

Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning. - Alex Tamkin; Margalit Glasgow; Xiluo He; Noah D. Goodman (NeurIPS, 2023)

Lower Bounds for γ-Regret via the Decision-Estimation Coefficient. - Margalit Glasgow; Alexander Rakhlin (CoRR, 2023)

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. - Arvind V. Mahankali; Jeff Z. HaoChen; Kefan Dong; Margalit Glasgow; Tengyu Ma 001 (CoRR, 2023)

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 (COLT, 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 (ICLR, 2024)

On the rank, Kernel, and core of sparse random graphs. - Patrick Demichele; Margalit Glasgow; Alexander Moreira (Random Struct. Algorithms, 2024)

Mean-field analysis of polynomial-width two-layer neural network beyond finite time horizon. - Margalit Glasgow; Denny Wu; Joan Bruna (COLT, 2025)

Convergence of Distributed Adaptive Optimization with Local Updates. - Ziheng Cheng; Margalit Glasgow (ICLR, 2025)

Propagation of Chaos in One-hidden-layer Neural Networks beyond Logarithmic Time. - Margalit Glasgow; Denny Wu; Joan Bruna (CoRR, 2025)