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Xinmeng Huang
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DecentLaM: Decentralized momentum SGD for large-batch deep training
K Yuan, Y Chen, X Huang, Y Zhang, P Pan, Y Xu, W Yin
CVF International Conference on Computer Vision (ICCV), 3009-3019, 2021
482021
Removing data heterogeneity influence enhances network topology dependence of decentralized sgd
K Yuan, SA Alghunaim, X Huang
Journal of Machine Learning Research 24 (280), 1-53, 2023
292023
Tight Coefficients of Averaged Operators via Scaled Relative Graph
X Huang, EK Ryu, W Yin
Journal of Mathematical Analysis and Applications 490 (1), 124211, 2020
232020
Revisiting optimal convergence rate for smooth and non-convex stochastic decentralized optimization
K Yuan, X Huang, Y Chen, X Zhang, Y Zhang, P Pan
Advances in Neural Information Processing Systems 35, 36382-36395, 2022
172022
Lower bounds and nearly optimal algorithms in distributed learning with communication compression
X Huang, Y Chen, W Yin, K Yuan
Advances in Neural Information Processing Systems 35, 18955-18969, 2022
142022
T-cal: An optimal test for the calibration of predictive models
D Lee, X Huang, H Hassani, E Dobriban
Journal of Machine Learning Research 24 (335), 1-72, 2023
122023
An improved analysis and rates for variance reduction under without-replacement sampling orders
X Huang, K Yuan, X Mao, W Yin
Advances in Neural Information Processing Systems 34, 3232-3243, 2021
112021
Scaled Relative Graph of Normal Matrices
X Huang, EK Ryu, W Yin
arXiv preprint arXiv:2001.02061, 2019
102019
Momentum benefits non-iid federated learning simply and provably
Z Cheng, X Huang, K Yuan
International Conference on Learning Representations (ICLR 2024), 2023
72023
Collaborative learning of discrete distributions under heterogeneity and communication constraints
X Huang, D Lee, E Dobriban, H Hassani
Advances in neural information processing systems 35, 31915-31928, 2022
32022
Demystifying disagreement-on-the-line in high dimensions
D Lee, B Moniri, X Huang, E Dobriban, H Hassani
International Conference on Machine Learning, 19053-19093, 2023
22023
Stochastic controlled averaging for federated learning with communication compression
X Huang, P Li, X Li
International Conference on Learning Representations (ICLR 2024), 2023
12023
Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits
X Huang, K Xu, D Lee, H Hassani, H Bastani, E Dobriban
arXiv preprint arXiv:2306.06291, 2023
12023
Uncertainty in Language Models: Assessment through Rank-Calibration
X Huang, S Li, M Yu, M Sesia, H Hassani, I Lee, O Bastani, E Dobriban
arXiv preprint arXiv:2404.03163, 2024
2024
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