| Fine-tuning is fine in federated learning G Cheng, K Chadha, J Duchi arXiv preprint arXiv:2108.07313 3, 2021 | 52 | 2021 |
| 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 | 18 | 2022 |
| Minibatch Stochastic Approximate Proximal Point Methods H Asi, K Chadha, G Cheng, J Duchi Advances in Neural Information Processing Systems 33 pre-proceedings …, 2020 | 18 | 2020 |
| 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 | 17 | 2022 |
| 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 | 12 | 2023 |
| 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 | 6 | 2022 |
| 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 | 4 | 2022 |
| Static & Dynamic Appointment Scheduling with Stochastic Gradient Descent G Cheng, K Chandrasekher, J Walrand 2019 American Control Conference (ACC), 2092-2099, 2019 | 4 | 2019 |
| Collaboratively learning linear models with structured missing data C Cheng, G Cheng, JC Duchi Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Causal Inference out of Control: Estimating the Steerability of Consumption G Cheng, M Hardt, C Mendler-Dünner arXiv preprint arXiv:2302.04989, 2023 | 1 | 2023 |
| adastar: A method for adapting to interpolation G Cheng, J Duchi OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022 | 1 | 2022 |
| Greedy Frank-Wolfe Algorithm for Exemplar Selection G Cheng, A Askari, K Ramchandran, LE Ghaoui arXiv preprint arXiv:1811.02702, 2018 | 1* | 2018 |
| Causal Inference out of Control: Estimating Performativity without Treatment Randomization G Cheng, M Hardt, C Mendler-Dünner Forty-first International Conference on Machine Learning, 0 | | |
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
