Kexin Jin
6 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(15)
🗺️
Taxonomy Completionist
(12)
Conferences
ICML (2)
JMLR (2)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
wasserstein distance
(1)
stochastic gradient descent
(1)
neural network training
(1)
domain generalization
(1)
variational inference
(1)
bayesian inference
(1)
data subsampling
(1)
distributed learning
(1)
test-time adaptation
(1)
decentralized optimization
(1)
continuous optimization
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
nearest neighbor
(1)
communication efficiency
(1)
learning rate
(1)
physics-informed neural network
(1)
gradient flow
(1)
model training
(1)
distributed stochastic gradient descent
(1)
Papers
Losing Momentum in Continuous-time Stochastic Optimisation
JMLR 2025
Subsampling Error in Stochastic Gradient Langevin Diffusions
AISTATS 2024
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
ICML 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
ICML 2023
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
JMLR 2023
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate
NIPS 2022