6 citations · 11 across the 7 of their papers we have counts for
6 papers · 1 filter
Calibrating an Imperfect Auxiliary Predictor for Unobserved No-Purchase Choice
Jiangkai Xiong, Kalyan Talluri, Hanzhao Wang
Firms typically cannot observe key consumer actions: whether customers buy from a competitor, choose not to buy, or even fully consider the firm's offer. This missing outside-optio…
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
Hanzhao Wang, Guanting Chen, Kalyan Talluri +1
We build a Generative Pre-trained Transformer (GPT) model from scratch to solve sequential decision making tasks arising in contexts of operations research and management science w…
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
Hanzhao Wang, Yu Pan, Fupeng Sun +4
In this paper, we consider the supervised pre-trained transformer for a class of sequential decision-making problems. The class of considered problems is a subset of the general fo…
Transformer Choice Net: A Transformer Neural Network for Choice Prediction
Hanzhao Wang, Xiaocheng Li, Kalyan Talluri
Discrete-choice models, such as Multinomial Logit, Probit, or Mixed-Logit, are widely used in Marketing, Economics, and Operations Research: given a set of alternatives, the custom…
Learning to Sell a Focal-ancillary Combination
Hanzhao Wang, Xiaocheng Li, Kalyan Talluri
A number of products are sold in the following sequence: First a focal product is shown, and if the customer purchases, one or more ancillary products are displayed for purchase. A…
On Dynamic Pricing with Covariates
Hanzhao Wang, Kalyan Talluri, Xiaocheng Li
We consider dynamic pricing with covariates under a generalized linear demand model: a seller can dynamically adjust the price of a product over a horizon of time periods, and…