Daniel Kuhn
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (6)
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(13)
Conferences
ICML (3)
AISTATS (1)
ICLR (1)
JMLR (1)
L4DC (1)
Top co-authors
Keywords
distributionally robust optimization
(4)
stochastic optimization
(2)
stochastic gradient descent
(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)
sequential prediction
(1)
reinforcement learning
(1)
generalization bound
(1)
end-to-end learning
(1)
least square
(1)
frank-wolfe algorithm
(1)
large deviation
(1)
statistical guarantee
(1)
bayesian interpretation
(1)
Papers
Global Group Fairness in Federated Learning via Function Tracking
AISTATS 2025
A large deviations perspective on policy gradient algorithms
L4DC 2024
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
ICML 2023
Context-enriched molecule representations improve few-shot drug discovery
ICLR 2023
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
ICML 2021
Distributionally Robust Optimization with Markovian Data
ICML 2021
Regularization via Mass Transportation
JMLR 2019