MNL-Bandit: A Dynamic Learning Approach to Assortment Selection

13 June 2017

Papers citing "MNL-Bandit: A Dynamic Learning Approach to Assortment Selection"

22 / 22 papers shown

Title
Pre-Training Estimators for Structural Models: Application to Consumer Search Yanhao 'Max' Wei Zhenling Jiang 36 0 0 01 May 2025
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 248 0 0 27 Apr 2025
Learning an Optimal Assortment Policy under Observational Data Yuxuan Han Han Zhong Miao Lu Jose H. Blanchet Zhengyuan Zhou OffRL 70 0 0 10 Feb 2025
Enhancing Preference-based Linear Bandits via Human Response Time Shen Li Yuyang Zhang Zhaolin Ren Claire Liang Na Li J. Shah 42 0 0 03 Jan 2025
Online Joint Assortment-Inventory Optimization under MNL Choices Yong Liang Xiaojie Mao Shiyuan Wang 56 0 0 03 Jan 2025
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei Branislav Kveton R. Song 21 3 0 03 Feb 2023
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models Shuting Shen Xi Chen Ethan X. Fang Junwei Lu 25 2 0 28 Jan 2023
Complexity Analysis of a Countable-armed Bandit Problem Anand Kalvit A. Zeevi 21 3 0 18 Jan 2023
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 47 16 0 22 Nov 2022
Active Learning for Non-Parametric Choice Models Fransisca Susan Negin Golrezaei E. Emamjomeh-Zadeh David Kempe CML 11 3 0 05 Aug 2022
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing Jingwei Ji Renyuan Xu Ruihao Zhu 30 0 0 04 Aug 2022
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework Runzhe Wan Linjuan Ge Rui Song 23 13 0 26 Feb 2022
Online Learning of Independent Cascade Models with Node-level Feedback Shuoguang Yang Van-Anh Truong 23 2 0 06 Sep 2021
Pure Exploration with Structured Preference Feedback Shubham Gupta Aadirupa Saha S. Katariya 35 0 0 12 Apr 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits Sanae Amani Christos Thrampoulidis 34 10 0 21 Mar 2021
Fully Gap-Dependent Bounds for Multinomial Logit Bandit Jiaqi Yang 16 2 0 19 Nov 2020
Near-Optimal MNL Bandits Under Risk Criteria Guangyu Xi Chao Tao Yuanshuo Zhou 19 3 0 26 Sep 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
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing Yining Wang Xi Chen Xiangyu Chang Dongdong Ge 27 15 0 16 Mar 2020
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem Junyu Cao Wei-Ju Sun 21 2 0 29 Apr 2019
Dynamic Assortment Selection under the Nested Logit Models Xi Chen Chao Shi Yining Wang Yuanshuo Zhou 16 13 0 27 Jun 2018
Dynamic Assortment Personalization in High Dimensions Nathan Kallus Madeleine Udell 31 66 0 18 Oct 2016