Contextual Distributionally Robust Optimization with Causal and Continuous Structure
stat.ML, cs.AI, cs.LG, math.OC
Submitted: 2026-01-16
Updated: 2026-09-27
Terminology
Sources
- On the Robustness of Interpretability Methods
- Towards better understanding of gradient-based attribution methods for Deep Neural Networks
- Holistic Robust Data-Driven Decisions
- The Price of Interpretability
- Unifying Distributionally Robust Optimization via Optimal Transport Theory
- Data-driven Distributionally Robust Control Based on Sinkhorn Ambiguity Sets
- Towards A Rigorous Science of Interpretable Machine Learning
- Distilling a Neural Network Into a Soft Decision Tree
- Newsvendor under Ambiguity and Misspecification
- A Priori Estimates of the Population Risk for Two-layer Neural Networks
- Robust Data-driven Prescriptiveness Optimization
- Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
- On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach
- A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
- Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
- Distributionally Robust Prescriptive Analytics with Wasserstein Distance
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