Kexin Jin

According to our database, Kexin Jin authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

How to beat a Bayesian adversary.

Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu

CoRR, 2024

Subsampling Error in Stochastic Gradient Langevin Diffusions.

Kexin Jin, Chenguang Liu, Jonas Latz

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A Continuous-time Stochastic Gradient Descent Method for Continuous Data.

Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb

J. Mach. Learn. Res., 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

Proceedings of the International Conference on Machine Learning, 2023

DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm.

Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin

Proceedings of the International Conference on Machine Learning, 2023

2022

Losing momentum in continuous-time stochastic optimisation.

Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Prediction of Second Primary Lung Cancer Patient's Survivability Based on Improved Eigenvector Centrality-Based Feature Selection.

Peng Liu, Kexin Jin, Yiping Jiao, Mutian He, Shumin Fei

IEEE Access, 2021