| 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 | 54 | 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 | 32 | 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 | 22 | 2020 |
| 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 | 18 | 2023 |
| 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 | 18 | 2022 |
| 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 |
| 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 | 13 | 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 | 9 | 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 | 7 | 2024 |
| Stochastic controlled averaging for federated learning with communication compression X Huang, P Li, X Li International Conference on Learning Representations (ICLR 2024), 2023 | 7 | 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 | 5 | 2023 |
| Optimal complexity in non-convex decentralized learning over time-varying networks X Huang, K Yuan arXiv preprint arXiv:2211.00533, 2022 | 5 | 2022 |
| 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 | 4 | 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 | 4 | 2022 |
| Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity X Huang, K Xu, D Lee, H Hassani, H Bastani, E Dobriban | 1* | 2024 |
| One-Shot Safety Alignment for Large Language Models via Optimal Dualization X Huang, S Li, E Dobriban, O Bastani, H Hassani, D Ding arXiv preprint arXiv:2405.19544, 2024 | | 2024 |
| Distributed Bilevel Optimization with Communication Compression Y He, J Hu, X Huang, S Lu, B Wang, K Yuan International Conference on Machine Learning, 2024 | | 2024 |
