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 | 48 | 2021 |
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 | 29 | 2023 |
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 | 23 | 2020 |
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 | 17 | 2022 |
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 | 14 | 2022 |
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 | 12 | 2023 |
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 | 12 | 2021 |
Scaled Relative Graph of Normal Matrices X Huang, EK Ryu, W Yin arXiv preprint arXiv:2001.02061, 2019 | 10 | 2019 |
Momentum benefits non-iid federated learning simply and provably Z Cheng, X Huang, K Yuan International Conference on Learning Representations (ICLR 2024), 2023 | 7 | 2023 |
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? Y He, X Huang, K Yuan Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
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 | 3 | 2022 |
Stochastic controlled averaging for federated learning with communication compression X Huang, P Li, X Li International Conference on Learning Representations (ICLR 2024), 2023 | 2 | 2023 |
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 | 2 | 2023 |
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 | 1 | 2023 |
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 |