Concepedia

Bandit Pricing

Bandit Pricing is a dynamic pricing strategy that employs multi-armed bandit algorithms to sequentially optimize price selection by balancing exploration of unknown demand responses and exploitation of known revenue-generating prices.

38

Publications

3.4K

Citations

81

Authors

54

Institutions

Publications per year

2017–2026

18

Parents

Publications

38

A two-armed bandit theory of market pricing

Michael Rothschild · Journal of Economic Theory · 1974 · 641 citations

, , +5

Dynamic pricing and learning:Historical origins, current research, and new directions

Arnoud V. den Boer · University of Twente Research Information · 2015 · 439 citations

, , +17

Dynamic Mechanism Design: A Myersonian Approach

Econometrica · 2014 · 414 citations · Full text

, , +16

Learning and Strategic Pricing

Dirk Bergemann, Juuso Välimäki · Econometrica · 1996 · 235 citations

, , +15

Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments

Kanishka Misra, Eric M. Schwartz, Jacob Abernethy · Marketing Science · 2019 · 177 citations

, , +14

1–5 of 38

Authors

81

  1. AS
    Aleksandrs Slivkins

    Microsoft (United States), United States

    2 publications · 108 citations

    3

    h-index

  2. JH
    Jeffrey H. Harris

    American University, United States

    2 publications · 136 citations

    2

    h-index

  3. KM
    Kanishka Misra

    University of Michigan, United States

    2 publications · 195 citations

    2

    h-index

  4. PS
    Paul Schultz

    University of Notre Dame, United States

    2 publications · 136 citations

    2

    h-index

  5. JA
    Jacob Abernethy

    University of California, Berkeley, United States

    2 publications · 195 citations

    2

    h-index

1–5 of 81

Institutions

54

  1. University of Illinois Urbana-Champaign

    Urbana, United States

    4 h-index

    6 publications

    200 citations

  2. Cornell University

    Ithaca, United States

    3 h-index

    5 publications

    429 citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    2 publications

    72 citations

  4. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    2 h-index

    1 publications

    13 citations

  5. University of Notre Dame

    Notre Dame, United States

    2 h-index

    3 publications

    247 citations

  6. University of Michigan

    Ann Arbor, United States

    2 h-index

    4 publications

    231 citations

  7. Microsoft (United States)

    Redmond, United States

    2 h-index

    4 publications

    216 citations

  8. Shanghai Jiao Tong University

    Shanghai, China

    2 h-index

    5 publications

    127 citations

1–8 of 54

Venues

  1. Marketing Science

    2 publications · 200 citations

    2

    h-index

  2. Econometrica

    2 publications · 649 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 50 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 43 citations

    2

    h-index

  5. IEEE Communications Letters

    1 publications · 10 citations

    1

    h-index

1–5