Yingjie Fei
9 papers · 2018–2023 · 4 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 (17) 🏆 Keyword Champion (3)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Reinforcement Learning
(5)
Methods
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Optimization
(3)
Core Methods
(2)
Deep Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Keywords
risk-sensitive reinforcement learning
(4)
regret bound
(4)
entropic risk measure
(3)
markov decision process
(2)
semidefinite programming
(2)
text classification
(1)
convex optimization
(1)
policy optimization
(1)
dynamic regret
(1)
transfer learning
(1)
bellman equation
(1)
minimax estimation
(1)
signal-to-noise ratio
(1)
logarithmic regret
(1)
exponential utility
(1)
sample complexity
(1)
stochastic block model
(1)
linear convergence
(1)
exact recovery
(1)
linear function approximation
(1)
Papers
Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
ACL 2023
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
ICML 2022
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
NeurIPS 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
ICML 2021
Dynamic Regret of Policy Optimization in Non-Stationary Environments
NeurIPS 2020
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
NeurIPS 2020
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
ICML 2020
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly
COLT 2019
Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models
COLT 2018