Shicong Cen
9 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
π
Keyword Champion
(3)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Optimization & Theory
(5)
Core AI
(4)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Learning Paradigms
(3)
Optimization
(3)
Applications
(2)
Methods
(2)
Natural Language Processing
(1)
Application Areas
(1)
Learning Types
(1)
Resources & Methods
(1)
Keywords
nash equilibrium
(4)
zero-sum game
(3)
quantal response equilibrium
(3)
policy optimization
(3)
federated learning
(2)
multi-agent reinforcement learning
(2)
distributed optimization
(2)
variance reduction
(2)
communication efficiency
(2)
entropy regularization
(2)
extragradient method
(2)
matrix game
(2)
markov game
(2)
gradient tracking
(2)
network dane
(1)
local averaging
(1)
natural policy gradient
(1)
multiplicative weight update
(1)
zero-sum markov game
(1)
reward modeling
(1)
Papers
Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment
AISTATS 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
ICLR 2025
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
JMLR 2024
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
NeurIPS 2024
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
ICLR 2023
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
ICLR 2023
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NeurIPS 2021
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
AISTATS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
JMLR 2020