Risk Bounds and Calibration for a Smart Predict-then-Optimize Method

19 August 2021

Papers citing "Risk Bounds and Calibration for a Smart Predict-then-Optimize Method"

6 / 6 papers shown

Title
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 28 55 0 25 Jul 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 27 4 0 31 May 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 27 9 0 26 Jan 2023
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas 16 8 0 15 Jun 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 29 11 0 18 Apr 2022
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 30 25 0 24 Oct 2021