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ORCIDYucheng Lu 0003
Person information
- affiliation: New York University Shanghai, China
- affiliation (PhD 2023): Cornell University, Ithaca, NY, USA
- affiliation (former): Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
Other persons with the same name
- Yucheng Lu — disambiguation page
- Yucheng Lu 0001
![[0000-0001-6868-2616]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-6868-2616")
— IT University of Copenhagen, Denmark (and 1 more) - Yucheng Lu 0002 — Huaqiao University, College of Computer Science and Technology, Xiamen, China
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2020 – today
- 2023
[j2]Yucheng Lu, Christopher De Sa:
Decentralized Learning: Theoretical Optimality and Practical Improvements. J. Mach. Learn. Res. 24: 93:1-93:62 (2023)- [c10]Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He:
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. ICLR 2023 - [c9]Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh:
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. ICML 2023: 22812-22824 - [c8]Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang:
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. ICML 2023: 36058-36076 - [c7]A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher De Sa:
CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated Training. NeurIPS 2023 - [i10]Wentao Guo, Khiem Pham, Yucheng Lu, Tiancheng Yuan, Charlie F. Ruan, Christopher De Sa:
Scale up with Order: Finding Good Data Permutations for Distributed Training. CoRR abs/2302.00845 (2023) - [i9]Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh:
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. CoRR abs/2302.01172 (2023) - 2022
- [c6]Yucheng Lu, Si Yi Meng, Christopher De Sa:
A General Analysis of Example-Selection for Stochastic Gradient Descent. ICLR 2022 - [c5]Yucheng Lu, Wentao Guo, Christopher De Sa:
GraB: Finding Provably Better Data Permutations than Random Reshuffling. NeurIPS 2022 - [i8]Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He:
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. CoRR abs/2202.06009 (2022) - [i7]Yucheng Lu, Wentao Guo, Christopher De Sa:
GraB: Finding Provably Better Data Permutations than Random Reshuffling. CoRR abs/2205.10733 (2022) - 2021
- [j1]Xudong Wu, Luoyi Fu, Huan Long, Dali Yang, Yucheng Lu, Xinbing Wang, Guihai Chen:
Adaptive Diffusion of Sensitive Information in Online Social Networks. IEEE Trans. Knowl. Data Eng. 33(8): 3020-3034 (2021) - [c4]Yucheng Lu, Christopher De Sa:
Optimal Complexity in Decentralized Training. ICML 2021: 7111-7123 - [c3]Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster:
Variance Reduced Training with Stratified Sampling for Forecasting Models. ICML 2021: 7145-7155 - [c2]A. Feder Cooper, Yucheng Lu, Jessica Forde, Christopher De Sa:
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. NeurIPS 2021: 3081-3095 - [i6]A. Feder Cooper, Yucheng Lu, Christopher De Sa:
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. CoRR abs/2102.03034 (2021) - [i5]Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster:
Variance Reduction in Training Forecasting Models with Subgroup Sampling. CoRR abs/2103.02062 (2021) - 2020
- [c1]Yucheng Lu, Christopher De Sa:
Moniqua: Modulo Quantized Communication in Decentralized SGD. ICML 2020: 6415-6425 - [i4]Yucheng Lu, Christopher De Sa:
Moniqua: Modulo Quantized Communication in Decentralized SGD. CoRR abs/2002.11787 (2020) - [i3]Yucheng Lu, Jack Nash, Christopher De Sa:
MixML: A Unified Analysis of Weakly Consistent Parallel Learning. CoRR abs/2005.06706 (2020) - [i2]Yucheng Lu, Zheng Li, Christopher De Sa:
Towards Optimal Convergence Rate in Decentralized Stochastic Training. CoRR abs/2006.08085 (2020)
2010 – 2019
- 2018
- [i1]Yucheng Lu, Xudong Wu, Jingfan Meng, Luoyi Fu, Xinbing Wang:
BLAG: Bandit On Large Action Set Graph. CoRR abs/1809.02711 (2018)
Coauthor Index
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