Gary Cheng

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Federated Databases

Stochastic Optimization

Top Venues

Publications

Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
Causal Inference out of Control: Estimating the Steerability of Consumption. CoRR (2023)
Gary Cheng, Karan N. Chadha, John C. Duchi
Federated Asymptotics: a model to compare federated learning algorithms. AISTATS (2023)
Chen Cheng, Gary Cheng, John C. Duchi
Collaboratively Learning Linear Models with Structured Missing Data. CoRR (2023)
Chen Cheng, Gary Cheng, John C. Duchi
Collaboratively Learning Linear Models with Structured Missing Data. NeurIPS (2023)
Karan N. Chadha, Gary Cheng, John C. Duchi
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization. ICML (2022)
Hilal Asi, Karan N. Chadha, Gary Cheng, John Duchi
Private optimization in the interpolation regime: faster rates and hardness results. ICML (2022)
Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse
Approximate Function Evaluation via Multi-Armed Bandits. CoRR (2022)
Hilal Asi, Karan N. Chadha, Gary Cheng, John Duchi
Private optimization in the interpolation regime: faster rates and hardness results. CoRR (2022)
Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse
Approximate Function Evaluation via Multi-Armed Bandits. AISTATS (2022)
Gary Cheng, Zachary Charles, Zachary Garrett, Keith Rush
Does Federated Dropout actually work? CVPR Workshops (2022)
Karan N. Chadha, Gary Cheng, John C. Duchi
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization. CoRR (2021)
Gary Cheng, Karan N. Chadha, John C. Duchi
Fine-tuning is Fine in Federated Learning. CoRR (2021)
Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi
Minibatch Stochastic Approximate Proximal Point Methods. NeurIPS (2020)