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Daniel Kuhn

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Papers (13)

  1. Multistage Conditional Compositional Optimization math.OC · 2026 · author #3
  2. RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems cs.LG · 2019 · author #3
  3. Wasserstein Distributionally Robust Kalman Filtering math.OC · 2018 · author #3
  4. Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator math.OC · 2018 · author #2
  5. Distributionally robust optimization with polynomial densities: theory, models and algorithms math.OC · 2018 · author #2
  6. Regularization via Mass Transportation math.OC · 2017 · author #2
  7. Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization math.OC · 2017 · author #3
  8. From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming math.OC · 2017 · author #3
  9. Scenario Reduction Revisited: Fundamental Limits and Guarantees math.OC · 2017 · author #3
  10. Chebyshev Inequalities for Products of Random Variables math.PR · 2016 · author #2
  11. Data-driven Inverse Optimization with Imperfect Information math.OC · 2015 · author #4
  12. Distributionally Robust Logistic Regression math.OC · 2015 · author #3
  13. Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations math.OC · 2015 · author #2

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