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ORCIDKexin Jin
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2020 – today
- 2024
[c4]Kexin Jin, Chenguang Liu, Jonas Latz:
Subsampling Error in Stochastic Gradient Langevin Diffusions. AISTATS 2024: 1414-1422- [i7]Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu:
How to beat a Bayesian adversary. CoRR abs/2407.08678 (2024) - 2023
- [j2]Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb:
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. J. Mach. Learn. Res. 24: 274:1-274:48 (2023) - [c3]Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML 2023: 8067-8089 - [c2]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: 41647-41676 - [i6]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 abs/2304.12566 (2023) - [i5]Kexin Jin, Chenguang Liu, Jonas Latz:
Subsampling Error in Stochastic Gradient Langevin Diffusions. CoRR abs/2305.13882 (2023) - [i4]Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR abs/2306.00256 (2023) - 2022
- [c1]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 - [i3]Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti:
Losing momentum in continuous-time stochastic optimisation. CoRR abs/2209.03705 (2022) - [i2]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 abs/2210.07881 (2022) - 2021
- [j1]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: 55663-55672 (2021) - [i1]Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb:
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. CoRR abs/2112.03754 (2021)
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