Linear Contextual Bandits with Knapsacks

24 July 2015

Papers citing "Linear Contextual Bandits with Knapsacks"

33 / 33 papers shown

Title
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context Jianyu Xu Qiuzhuang Sun Yang Yang Huadong Mo Daoyi Dong 83 0 0 24 Feb 2025
Bandits with Anytime Knapsacks Eray Can Elumar Cem Tekin Osman Yagan 110 0 0 30 Jan 2025
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
A Complete Characterization of Learnability for Stochastic Noisy Bandits Steve Hanneke Kun Wang 45 0 0 20 Jan 2025
No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints Gagan Aggarwal Giannis Fikioris Mingfei Zhao 40 5 0 15 Apr 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number Yuxiao Wen Yanjun Han Zhengyuan Zhou 47 1 0 12 Feb 2024
Allocating Divisible Resources on Arms with Unknown and Random Rewards Ningyuan Chen Wenhao Li 24 0 0 28 Jun 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast P. Loiseau Vianney Perchet 37 4 0 23 Jun 2023
Parameter-free projected gradient descent Evgenii Chzhen Christophe Giraud Gilles Stoltz 26 4 0 31 May 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles Yuxuan Han Jialin Zeng Yang Wang Yangzhen Xiang Jiheng Zhang 59 9 0 21 Oct 2022
Safe Linear Bandits over Unknown Polytopes Aditya Gangrade Tianrui Chen Venkatesh Saligrama 40 6 0 27 Sep 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem Raunak Kumar Robert D. Kleinberg 23 13 0 24 Sep 2022
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas 27 8 0 15 Jun 2022
Contextual Bandits with Knapsacks for a Conversion Model Zerui Li Gilles Stoltz 68 3 0 01 Jun 2022
No-regret Learning in Repeated First-Price Auctions with Budget Constraints Rui Ai Chang Wang Chenchen Li Jinshan Zhang Wenhan Huang Xiaotie Deng 35 10 0 29 May 2022
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 66 11 0 10 Aug 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 21 14 0 07 Jun 2021
Online Selection of Diverse Committees Virginie Do Jamal Atif J. Lang Nicolas Usunier 40 8 0 19 May 2021
Joint Online Learning and Decision-making via Dual Mirror Descent Alfonso Lobos Paul Grigas Zheng Wen 24 11 0 20 Apr 2021
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks Xiaocheng Li Chunlin Sun Yinyu Ye 24 21 0 12 Feb 2021
Online Learning with Vector Costs and Bandits with Knapsacks Thomas Kesselheim Sahil Singla 17 32 0 14 Oct 2020
Group-Fair Online Allocation in Continuous Time Semih Cayci Swati Gupta A. Eryilmaz FaML 32 19 0 11 Jun 2020
Learning under Invariable Bayesian Safety Gal Bahar Omer Ben-Porat Kevin Leyton-Brown Moshe Tennenholtz 27 0 0 08 Jun 2020
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts D. Simchi-Levi Rui Sun Huanan Zhang 16 11 0 02 May 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability D. Simchi-Levi Yunzong Xu OffRL 51 107 0 28 Mar 2020
Budget-Constrained Bandits over General Cost and Reward Distributions Semih Cayci A. Eryilmaz R. Srikant 6 31 0 29 Feb 2020
Linear Stochastic Bandits Under Safety Constraints Sanae Amani M. Alizadeh Christos Thrampoulidis 36 117 0 16 Aug 2019
Online Allocation and Pricing: Constant Regret via Bellman Inequalities Alberto Vera Siddhartha Banerjee I. Gurvich OffRL 22 48 0 14 Jun 2019
Unifying the stochastic and the adversarial Bandits with Knapsack A. Rangi M. Franceschetti Long Tran-Thanh 18 26 0 23 Oct 2018
An Algorithmic Framework to Control Bias in Bandit-based Personalization L. E. Celis Sayash Kapoor Farnood Salehi Nisheeth K. Vishnoi 20 20 0 23 Feb 2018
Combinatorial Semi-Bandits with Knapsacks Karthik Abinav Sankararaman Aleksandrs Slivkins 33 48 0 23 May 2017
Assortment Optimization under Unknown MultiNomial Logit Choice Models Wang Chi Cheung D. Simchi-Levi 28 15 0 01 Apr 2017
Resourceful Contextual Bandits Ashwinkumar Badanidiyuru John Langford Aleksandrs Slivkins 45 117 0 27 Feb 2014