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Gary Cheng
Gary Cheng
PhD candidate, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Fine-tuning is fine in federated learning
G Cheng, K Chadha, J Duchi
arXiv preprint arXiv:2108.07313 3, 2021
382021
Accelerated, optimal and parallel: Some results on model-based stochastic optimization
K Chadha, G Cheng, J Duchi
International Conference on Machine Learning, 2811-2827, 2022
142022
Does federated dropout actually work?
G Cheng, Z Charles, Z Garrett, K Rush
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
142022
Minibatch Stochastic Approximate Proximal Point Methods
H Asi, K Chadha, G Cheng, J Duchi
Advances in Neural Information Processing Systems 33 pre-proceedings†…, 2020
142020
Federated asymptotics: a model to compare federated learning algorithms
G Cheng, K Chadha, J Duchi
International Conference on Artificial Intelligence and Statistics, 10650-10689, 2023
102023
Approximate Function Evaluation via Multi-Armed Bandits
TZ Baharav, G Cheng, M Pilanci, D Tse
International Conference on Artificial Intelligence and Statistics, 108-135, 2022
52022
Private optimization in the interpolation regime: faster rates and hardness results
H Asi, K Chadha, G Cheng, J Duchi
International Conference on Machine Learning, 1025-1045, 2022
32022
Static & Dynamic Appointment Scheduling with Stochastic Gradient Descent
G Cheng, K Chandrasekher, J Walrand
2019 American Control Conference (ACC), 2092-2099, 2019
32019
Causal Inference out of Control: Estimating the Steerability of Consumption
G Cheng, M Hardt, C Mendler-DŁnner
arXiv preprint arXiv:2302.04989, 2023
12023
adastar: A method for adapting to interpolation
G Cheng, J Duchi
OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022
12022
Greedy Frank-Wolfe Algorithm for Exemplar Selection
G Cheng, A Askari, K Ramchandran, LE Ghaoui
arXiv preprint arXiv:1811.02702, 2018
1*2018
Collaboratively Learning Linear Models with Structured Missing Data
C Cheng, G Cheng, JC Duchi
Advances in Neural Information Processing Systems 36, 2024
2024
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