Shixiang Chen
5 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
riemannian optimization
(1)
federated learning
(1)
multi-agent reinforcement learning
(1)
feature learning
(1)
convex optimization
(1)
decentralized optimization
(1)
sharpness-aware minimization
(1)
global optimization
(1)
gradient descent
(1)
classifier learning
(1)
linear regression
(1)
linear convergence
(1)
proximal gradient
(1)
safe reinforcement learning
(1)
generalization bound
(1)
convergence rate
(1)
deep neural network
(1)
neural collapse
(1)
imbalanced learning
(1)
first-order method
(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?
NeurIPS 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
NeurIPS 2017