Fast Rates for Contextual Linear Optimization

5 November 2020

Papers citing "Fast Rates for Contextual Linear Optimization"

11 / 11 papers shown

Title
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel $-$ Young Loss Perspective and Gap-Dependent Regret Analysis Shinsaku Sakaue Han Bao Taira Tsuchiya 37 1 0 23 Jan 2025
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 59 7 0 19 Sep 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 35 0 0 26 May 2024
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning Pan Zhao Yifan Cui CML 34 1 0 14 Oct 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage Masatoshi Uehara Nathan Kallus Jason D. Lee Wen Sun OffRL 47 5 0 05 Feb 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 13 8 0 15 Jun 2022
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 30 25 0 24 Oct 2021
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas UQCV 19 20 0 19 Aug 2021
Fast Rates for the Regret of Offline Reinforcement Learning Yichun Hu Nathan Kallus Masatoshi Uehara OffRL 11 29 0 31 Jan 2021
Rejoinder: New Objectives for Policy Learning Nathan Kallus 49 1 0 05 Dec 2020