Gary Cheng

Affiliations:
  • Stanford University, CA, USA


According to our database1, Gary Cheng authored at least 10 papers between 2020 and 2024.

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Bibliography

2024
Causal Inference out of Control: Estimating Performativity without Treatment Randomization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Causal Inference out of Control: Estimating the Steerability of Consumption.
CoRR, 2023

Collaboratively Learning Linear Models with Structured Missing Data.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization.
Proceedings of the International Conference on Machine Learning, 2022

Private optimization in the interpolation regime: faster rates and hardness results.
Proceedings of the International Conference on Machine Learning, 2022

Does Federated Dropout actually work?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Approximate Function Evaluation via Multi-Armed Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Fine-tuning is Fine in Federated Learning.
CoRR, 2021

2020
Minibatch Stochastic Approximate Proximal Point Methods.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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