Kexin Jin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Naive Bayes Nearest Neighbor

Stochastic Gradient

Continuous Data

Top Venues

Publications

Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu
How to beat a Bayesian adversary. CoRR (2024)
Kexin Jin, Chenguang Liu, Jonas Latz
Subsampling Error in Stochastic Gradient Langevin Diffusions. AISTATS (2024)
Kexin Jin, Chenguang Liu, Jonas Latz
Subsampling Error in Stochastic Gradient Langevin Diffusions. CoRR (2023)
Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML (2023)
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML (2023)
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR (2023)
Yi-Fan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR (2023)
Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
Losing momentum in continuous-time stochastic optimisation. CoRR (2022)
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR (2022)
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS (2022)
Peng Liu, Kexin Jin, Yiping Jiao, Mutian He, Shumin Fei
Prediction of Second Primary Lung Cancer Patient's Survivability Based on Improved Eigenvector Centrality-Based Feature Selection. IEEE Access 9 (2021)
Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. CoRR (2021)