Jin, Kexin

6 publications

JMLR 2025 Losing Momentum in Continuous-Time Stochastic Optimisation Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti

AISTATS 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions Kexin Jin, Chenguang Liu, Jonas Latz

JMLR 2023 A Continuous-Time Stochastic Gradient Descent Method for Continuous Data Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb

ICML 2023 AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

ICML 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin

NeurIPS 2022 Communication-Efficient Topologies for Decentralized Learning with $o(1)$ Consensus Rate Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan