Daniel Kuhn
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Papers (13)
- Multistage Conditional Compositional Optimization math.OC · 2026 · author #3
- RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems cs.LG · 2019 · author #3
- Wasserstein Distributionally Robust Kalman Filtering math.OC · 2018 · author #3
- Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator math.OC · 2018 · author #2
- Distributionally robust optimization with polynomial densities: theory, models and algorithms math.OC · 2018 · author #2
- Regularization via Mass Transportation math.OC · 2017 · author #2
- Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization math.OC · 2017 · author #3
- From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming math.OC · 2017 · author #3
- Scenario Reduction Revisited: Fundamental Limits and Guarantees math.OC · 2017 · author #3
- Chebyshev Inequalities for Products of Random Variables math.PR · 2016 · author #2
- Data-driven Inverse Optimization with Imperfect Information math.OC · 2015 · author #4
- Distributionally Robust Logistic Regression math.OC · 2015 · author #3
- Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations math.OC · 2015 · author #2
Mentions
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Frequent Coauthors
- Peyman Mohajerin Esfahani 7 shared papers
- Soroosh Shafieezadeh-Abadeh 4 shared papers
- Napat Rujeerapaiboon 3 shared papers
- Wolfram Wiesemann 3 shared papers
- Kilian Schindler 2 shared papers
- Viet Anh Nguyen 2 shared papers
- Aldo Faisal 1 shared papers
- Buse \c{S}en 1 shared papers
- Ekaterina Abramova 1 shared papers
- Etienne de Klerk 1 shared papers
- Grani Adiwena Hanasusanto 1 shared papers
- John Lygeros 1 shared papers
- Krzysztof Postek 1 shared papers
- Luke Dickens 1 shared papers
- Tobias Sutter 1 shared papers
- Yifan Hu 1 shared papers