Paat Rusmevichientong

University of Southern California - Marshall School of Business

701 Exposition Blvd

Los Angeles, CA 90089

United States

SCHOLARLY PAPERS

8

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1,741

SSRN CITATIONS
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Top 20,620

in Total Papers Citations

31

CROSSREF CITATIONS

11

Scholarly Papers (8)

1.

Real-Time Optimization of Personalized Assortments

Management Science, Forthcoming
Number of pages: 47 Posted: 20 Sep 2012 Last Revised: 06 Mar 2014
Negin Golrezaei, Hamid Nazerzadeh and Paat Rusmevichientong
University of Southern California - Marshall School of Business, University of Southern California - Marshall School of Business and University of Southern California - Marshall School of Business
Downloads 555 (52,448)
Citation 15

Abstract:

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personalization, assortment optimization, choice models, online algorithms

2.

A Nonparametric Joint Assortment and Price Choice Model

Number of pages: 64 Posted: 29 Jun 2013 Last Revised: 20 Nov 2015
Srikanth Jagabathula and Paat Rusmevichientong
New York University (NYU) - Department of Information, Operations, and Management Sciences and University of Southern California - Marshall School of Business
Downloads 406 (77,136)
Citation 14

Abstract:

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consideration set, choice model, revenue prediction, two-stage models, nonparametric pricing

3.

The Limit of Rationality in Choice Modeling: Formulation, Computation, and Implications

Number of pages: 76 Posted: 27 Oct 2016 Last Revised: 16 Feb 2018
Srikanth Jagabathula and Paat Rusmevichientong
New York University (NYU) - Department of Information, Operations, and Management Sciences and University of Southern California - Marshall School of Business
Downloads 376 (84,278)
Citation 2

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Limit of Rationality, Choice Modeling, Rank Aggregation

4.

Small-Data, Large-Scale Linear Optimization with Uncertain Objectives

Number of pages: 92 Posted: 07 Nov 2017 Last Revised: 02 Dec 2019
Vishal Gupta and Paat Rusmevichientong
Data Science and Operations, Marshall School of Business and University of Southern California - Marshall School of Business
Downloads 123 (244,884)
Citation 2

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data-driven optimization, small-data large-scale regime, stein's unbiased risk estimation

5.

The Assortment Packing Problem: Multiperiod Assortment Planning for Short-Lived Products

Number of pages: 32 Posted: 12 Apr 2012
Felipe Caro, Victor Martinez-de-Albeniz and Paat Rusmevichientong
University of California, Los Angeles - Anderson School of Management, IESE Business School - University of Navarra and University of Southern California - Marshall School of Business
Downloads 104 (276,176)
Citation 9

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6.

Pricing under the Generalized Extreme Value Models with Homogeneous Price Sensitivity Parameters

Number of pages: 37 Posted: 03 Mar 2017 Last Revised: 03 Sep 2017
Heng Zhang, Paat Rusmevichientong and Huseyin Topaloglu
USC Marshall School of Business, DSO Department, University of Southern California - Marshall School of Business and Cornell University - School of Operations Research and Industrial Engineering
Downloads 103 (278,014)
Citation 2

Abstract:

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Customer Choice Modeling, Generalized Extreme Value Models, Price Optimization

7.

Assortment Optimization under the Paired Combinatorial Logit Model

Number of pages: 95 Posted: 03 Aug 2017 Last Revised: 21 Oct 2018
Heng Zhang, Paat Rusmevichientong and Huseyin Topaloglu
USC Marshall School of Business, DSO Department, University of Southern California - Marshall School of Business and Cornell University - School of Operations Research and Industrial Engineering
Downloads 42 (444,912)
Citation 5

Abstract:

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Customer Choice Modeling, Pair Combinatorial Logit Model, Assortment Optimization

8.

Estimating Large-Scale Tree Logit Models via a Difference of Strictly Convex Functions

NYU Stern School of Business
Number of pages: 63 Posted: 10 Jul 2019
Srikanth Jagabathula and Paat Rusmevichientong
New York University (NYU) - Department of Information, Operations, and Management Sciences and University of Southern California - Marshall School of Business
Downloads 32 (488,846)
Citation 1

Abstract:

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tree logit, choice modeling, parameter estimation