Co-occurring keywords · papers mentioning both
Papers
Learning Decision-Sufficient Representations for Linear Optimization
COLT 2026
An Inverse Optimization Approach to Contextual Inverse Optimization
IJCAI 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
AAAI 2025
Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach
ICML 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning
AAAI 2025
End-to-end Conditional Robust Optimization
UAI 2024
Robust Data-driven Prescriptiveness Optimization
ICML 2024
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
ICML 2023
Contextual Stochastic Bilevel Optimization
NeurIPS 2023
Predict-then-Calibrate: A New Perspective of Robust Contextual LP
NeurIPS 2023
Robust Bayesian Satisficing
NeurIPS 2023
Online Learning from Optimal Actions
COLT 2021
Offline Contextual Bayesian Optimization
NeurIPS 2019