Ruitu Xu
6 papers · 2021–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Learning Types
(3)
Methods
(3)
Mathematics & Optimization
(2)
Applications
(2)
Optimization
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
regret bound
(3)
gradient descent
(2)
reinforcement learning
(2)
function approximation
(1)
convergence analysis
(1)
markov decision process
(1)
value iteration
(1)
maximum weight matching
(1)
logarithmic regret
(1)
stochastic process
(1)
biological plausibility
(1)
thompson sampling
(1)
regularized optimization
(1)
linear convergence
(1)
continuous time
(1)
contextual bandit
(1)
heterogeneous agent
(1)
exponential convergence
(1)
two-layer network
(1)
matching market
(1)
Papers
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
AISTATS 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
NeurIPS 2023
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
ICML 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
NeurIPS 2022
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
NeurIPS 2021
Meta Learning in the Continuous Time Limit
AISTATS 2021