Ke Wei
8 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (3) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π₯
Unstoppable
(5)
β
The Questioner
Conferences
JMLR (4)
ICLR (2)
AAAI (1)
ACML (1)
Top co-authors
Keywords
variance reduction
(2)
decentralized optimization
(2)
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
policy optimization
(1)
bayesian inference
(1)
natural policy gradient
(1)
kl divergence
(1)
convergence analysis
(1)
sample complexity
(1)
model fusion
(1)
policy iteration
(1)
robust principal component analysis
(1)
sparse matrix
(1)
low rank matrix
(1)
matrix recovery
(1)
gradient tracking
(1)
alternating projection
(1)
step size
(1)
sublinear convergence
(1)
Papers
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
AAAI 2026
$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
ICLR 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning
JMLR 2024
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion
JMLR 2023
Probabilistic Fusion of Neural Networks that
Incorporates Global Information
ACML 2022
Is Attention Better Than Matrix Decomposition?
ICLR 2021
Accelerated Alternating Projections for Robust Principal Component Analysis
JMLR 2019