| Adanpc: Exploring non-parametric classifier for test-time adaptation Y Zhang, X Wang, K Jin, K Yuan, Z Zhang, L Wang, R Jin, T Tan International Conference on Machine Learning, 41647-41676, 2023 | 16 | 2023 |
| Communication-Efficient Topologies for Decentralized Learning with Consensus Rate Z Song, W Li, K Jin, L Shi, M Yan, W Yin, K Yuan Advances in Neural Information Processing Systems 35, 1073-1085, 2022 | 13 | 2022 |
| A continuous-time stochastic gradient descent method for continuous data K Jin, J Latz, C Liu, CB Schönlieb Journal of Machine Learning Research 24 (274), 1-48, 2023 | 4 | 2023 |
| DSGD-CECA: decentralized SGD with communication-optimal exact consensus algorithm L Ding, K Jin, B Ying, K Yuan, W Yin International Conference on Machine Learning, 8067-8089, 2023 | 3 | 2023 |
| Cancellations of Resonances and Long Time Dynamics of Cubic Schrödinger Equation on K Jin, X Ma Communications in Mathematical Physics 381 (3), 1309-1368, 2021 | 3 | 2021 |
| Losing momentum in continuous-time stochastic optimisation K Jin, J Latz, C Liu, A Scagliotti arXiv preprint arXiv:2209.03705, 2022 | 1 | 2022 |
| Subsampling Error in Stochastic Gradient Langevin Diffusions K Jin, C Liu, J Latz International Conference on Artificial Intelligence and Statistics, 1414-1422, 2024 | | 2024 |
| MinSizeSketch: Minimum-Size Program Synthesis with Sketch R Fang, K Jin | | |
Kun YuanCenter for Machine Learning Research, Peking UniversityVerified email at pku.edu.cn
