Generalization Bounds in the Predict-then-Optimize Framework

Generalization Bounds in the Predict-then-Optimize Framework

27 May 2019

Othman El Balghiti

Adam N. Elmachtoub

Papers citing "Generalization Bounds in the Predict-then-Optimize Framework"

13 / 13 papers shown

Title
Building Socially-Equitable Public Models Yejia Liu Jianyi Yang Pengfei Li Tongxin Li Shaolei Ren OffRL 46 0 0 04 Jun 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 42 0 0 26 May 2024
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 43 59 0 25 Jul 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 41 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 29 10 0 26 Jan 2023
SimPO: Simultaneous Prediction and Optimization Bing Zhang Yuya Jeremy Ong Taiga Nakamura 27 2 0 31 Mar 2022
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 38 25 0 24 Oct 2021
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas UQCV 25 20 0 19 Aug 2021
Prescribing net demand for two-stage electricity generation scheduling J. Morales Miguel Angel Muñoz S. Pineda 37 14 0 02 Aug 2021
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting J. Garcia A. Street Tito Homem-de-Mello F. Muñoz 33 10 0 26 Feb 2021
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 41 365 0 04 Dec 2020
Fast Rates for Contextual Linear Optimization Yichun Hu Nathan Kallus Xiaojie Mao OffRL 34 41 0 05 Nov 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 21 28 0 18 Jun 2020