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ORCIDGary Cheng 0004
Person information
- affiliation: Stanford University, CA, USA
Other persons with the same name
- Gary Cheng 0001
![[0000-0002-5614-3348]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5614-3348")
— Hong Kong Institute of Education, Department of Mathematics and Information Technology, Hong Kong - Gary Cheng 0002 — UC Berkeley, Berkeley, CA, USA
- Gary Cheng 0003 (aka: Gary C. Cheng) — University of Alabama at Birmingham, AL, USA
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Conference and Workshop Papers
- 2024
[c8]Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner:
Causal Inference out of Control: Estimating Performativity without Treatment Randomization. ICML 2024- 2023
- [c7]Gary Cheng, Karan N. Chadha, John C. Duchi:
Federated Asymptotics: a model to compare federated learning algorithms. AISTATS 2023: 10650-10689 - [c6]Chen Cheng, Gary Cheng, John C. Duchi:
Collaboratively Learning Linear Models with Structured Missing Data. NeurIPS 2023 - 2022
- [c5]Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse:
Approximate Function Evaluation via Multi-Armed Bandits. AISTATS 2022: 108-135 - [c4]Gary Cheng, Zachary Charles, Zachary Garrett, Keith Rush:
Does Federated Dropout actually work? CVPR Workshops 2022: 3386-3394 - [c3]Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi:
Private optimization in the interpolation regime: faster rates and hardness results. ICML 2022: 1025-1045 - [c2]Karan N. Chadha, Gary Cheng, John C. Duchi:
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization. ICML 2022: 2811-2827 - 2020
- [c1]Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi:
Minibatch Stochastic Approximate Proximal Point Methods. NeurIPS 2020
Informal and Other Publications
- 2023
- [i6]Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner:
Causal Inference out of Control: Estimating the Steerability of Consumption. CoRR abs/2302.04989 (2023) - [i5]Chen Cheng, Gary Cheng, John C. Duchi:
Collaboratively Learning Linear Models with Structured Missing Data. CoRR abs/2307.11947 (2023) - 2022
- [i4]Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse:
Approximate Function Evaluation via Multi-Armed Bandits. CoRR abs/2203.10124 (2022) - [i3]Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi:
Private optimization in the interpolation regime: faster rates and hardness results. CoRR abs/2210.17070 (2022) - 2021
- [i2]Karan N. Chadha, Gary Cheng, John C. Duchi:
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization. CoRR abs/2101.02696 (2021) - [i1]Gary Cheng, Karan N. Chadha, John C. Duchi:
Fine-tuning is Fine in Federated Learning. CoRR abs/2108.07313 (2021)
Coauthor Index
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