Daniel Kuhn
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types
(1)
Keywords
distributionally robust optimization
(4)
stochastic optimization
(2)
reinforcement learning
(1)
stochastic gradient descent
(1)
few-shot learning
(1)
non-convex optimization
(1)
domain adaptation
(1)
convex optimization
(1)
bayesian inference
(1)
decision making
(1)
policy gradient
(1)
empirical risk minimization
(1)
markov chain
(1)
maximum mean discrepancy
(1)
sequential prediction
(1)
generalization bound
(1)
hopfield network
(1)
group fairness
(1)
end-to-end learning
(1)
drug discovery
(1)
Papers
Global Group Fairness in Federated Learning via Function Tracking
AISTATS 2025
A large deviations perspective on policy gradient algorithms
L4DC 2024
Context-enriched molecule representations improve few-shot drug discovery
ICLR 2023
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
ICML 2023
Distributionally Robust Optimization with Markovian Data
ICML 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
ICML 2021
Regularization via Mass Transportation
JMLR 2019