Cheng, Gary

10 publications

ICML 2024 Causal Inference Out of Control: Estimating Performativity Without Treatment Randomization Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

NeurIPS 2023 Collaboratively Learning Linear Models with Structured Missing Data Chen Cheng, Gary Cheng, John C. Duchi

AISTATS 2023 Federated Asymptotics: A Model to Compare Federated Learning Algorithms Gary Cheng, Karan Chadha, John Duchi

AISTATS 2022 Approximate Function Evaluation via Multi-Armed Bandits Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse

ICML 2022 Accelerated, Optimal and Parallel: Some Results on Model-Based Stochastic Optimization Karan Chadha, Gary Cheng, John Duchi

NeurIPSW 2022 Causal Inference Out of Control: Identifying the Steerability of Consumption Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

CVPRW 2022 Does Federated Dropout Actually Work? Gary Cheng, Zachary Charles, Zachary Garrett, Keith Rush

ICML 2022 Private Optimization in the Interpolation Regime: Faster Rates and Hardness Results Hilal Asi, Karan Chadha, Gary Cheng, John Duchi

NeurIPSW 2022 adaStar: A Method for Adapting to Interpolation Gary Cheng, John Duchi

NeurIPS 2020 Minibatch Stochastic Approximate Proximal Point Methods Hilal Asi, Karan Chadha, Gary Cheng, John C. Duchi