Shixiang Chen
5 papers · 2017–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (6) π Cross-Pollinator (12)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
β
The Questioner
Conferences
ICML (2)
NIPS (2)
IJCAI (1)
Top co-authors
Keywords
riemannian optimization
(1)
federated learning
(1)
feature learning
(1)
convex optimization
(1)
decentralized optimization
(1)
global optimization
(1)
gradient descent
(1)
classifier learning
(1)
linear regression
(1)
linear convergence
(1)
proximal gradient
(1)
generalization bound
(1)
convergence rate
(1)
deep neural network
(1)
neural collapse
(1)
imbalanced learning
(1)
first-order method
(1)
model generalization
(1)
sharpness aware minimization
(1)
client drift
(1)
Papers
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
ICML 2023
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
NIPS 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
IJCAI 2022
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
ICML 2021
Geometric Descent Method for Convex Composite Minimization
NIPS 2017