Risk Guarantees for End-to-End Prediction and Optimization Processes

30 December 2020

Papers citing "Risk Guarantees for End-to-End Prediction and Optimization Processes"

9 / 9 papers shown

Title
Learning Decisions Offline from Censored Observations with ε-insensitive Operational Costs Minxia Chen Ke Fu Teng Huang Miao Bai OffRL 99 0 0 14 Aug 2024
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 119 94 0 17 Jun 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Adam N. Elmachtoub Henry Lam Haofeng Zhang Yunfan Zhao 176 6 0 13 Apr 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 96 10 0 26 Jan 2023
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas 58 8 0 15 Jun 2022
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 86 25 0 24 Oct 2021
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas UQCV 79 22 0 19 Aug 2021
Fast Rates for Contextual Linear Optimization Yichun Hu Nathan Kallus Xiaojie Mao OffRL 108 43 0 05 Nov 2020
Bandit Data-Driven Optimization Zheyuan Ryan Shi Zhiwei Steven Wu Rayid Ghani Fei Fang OffRL 78 3 0 26 Aug 2020