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Counterfactual Inference for Consumer Choice Across Many Product
  Categories
v1v2 (latest)

Counterfactual Inference for Consumer Choice Across Many Product Categories

6 June 2019
Rob Donnelly
Francisco J. R. Ruiz
David M. Blei
Susan Athey
    CML
ArXiv (abs)PDFHTML

Papers citing "Counterfactual Inference for Consumer Choice Across Many Product Categories"

7 / 7 papers shown
Title
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
Tianyu Du
Ayush Kanodia
Herman Brunborg
Keyon Vafa
Susan Athey
88
4
0
25 Jun 2024
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
Yu Xia
Ali Arian
S. Narayanamoorthy
Joshua Mabry
65
3
0
21 Dec 2023
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
Tianyu Du
Ayush Kanodia
Susan Athey
42
1
0
04 Apr 2023
How causal machine learning can leverage marketing strategies: Assessing
  and improving the performance of a coupon campaign
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
Henrika Langen
M. Huber
CML
50
13
0
22 Apr 2022
CAREER: A Foundation Model for Labor Sequence Data
CAREER: A Foundation Model for Labor Sequence Data
Keyon Vafa
Emil Palikot
Tianyu Du
Ayush Kanodia
Susan Athey
David M. Blei
81
6
0
16 Feb 2022
Machine Learning Methods Economists Should Know About
Machine Learning Methods Economists Should Know About
Susan Athey
Guido Imbens
100
685
0
24 Mar 2019
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and
  Complements
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements
Francisco J. R. Ruiz
Susan Athey
David M. Blei
415
85
0
09 Nov 2017
1