The Bayesian Prophet: A Low-Regret Framework for Online Decision Making

15 January 2019

Papers citing "The Bayesian Prophet: A Low-Regret Framework for Online Decision Making"

8 / 8 papers shown

Title
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices Ruicheng Ao Jiashuo Jiang D. Simchi-Levi 78 2 0 24 Jan 2025
Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions Jiashuo Jiang Will Ma Jiawei Zhang 29 14 0 03 Jan 2025
Infrequent Resolving Algorithm for Online Linear Programming Guokai Li Yuan Wang Mingjie Li 34 1 0 01 Aug 2024
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 23 0 13 Jul 2022
Online Resource Allocation under Horizon Uncertainty S. Balseiro Christian Kroer Rachitesh Kumar 29 15 0 27 Jun 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 23 8 0 27 Oct 2021
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing Kirk Bansak E. Paulson 18 15 0 02 Jul 2020
Online Allocation and Pricing: Constant Regret via Bellman Inequalities Alberto Vera Siddhartha Banerjee I. Gurvich OffRL 22 48 0 14 Jun 2019