Gary Cheng

According to our database, Gary Cheng authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Causal Inference out of Control: Estimating the Steerability of Consumption.

Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

CoRR, 2023

Collaboratively Learning Linear Models with Structured Missing Data.

Chen Cheng, Gary Cheng, John C. Duchi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Asymptotics: a model to compare federated learning algorithms.

Gary Cheng, Karan N. Chadha, John C. Duchi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization.

Karan N. Chadha, Gary Cheng, John C. Duchi

Proceedings of the International Conference on Machine Learning, 2022

Private optimization in the interpolation regime: faster rates and hardness results.

Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi

Proceedings of the International Conference on Machine Learning, 2022

Does Federated Dropout actually work?

Gary Cheng, Zachary Charles, Zachary Garrett, Keith Rush

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Approximate Function Evaluation via Multi-Armed Bandits.

Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Fine-tuning is Fine in Federated Learning.

Gary Cheng, Karan N. Chadha, John C. Duchi

CoRR, 2021

2020

Minibatch Stochastic Approximate Proximal Point Methods.

Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020