Concepedia

Learning Reserve Prices

Learning Reserve Prices is a machine learning framework within auction theory that specifically enables the data-driven optimization of reserve prices in repeated auctions by iteratively updating pricing strategies based on historical bidding behavior.

22

Publications

684

Citations

41

Authors

26

Institutions

Publications per year

2017–2026

10

Parents

Publications

22

Regret Minimization for Reserve Prices in Second-Price Auctions

Nicolò Cesa‐Bianchi, Claudio Gentile, Yishay Mansour · IEEE Transactions on Information Theory · 2014 · 103 citations

, , +16

On the Pseudo-Dimension of Nearly Optimal Auctions

Jamie Morgenstern, Tim Roughgarden · Neural Information Processing Systems · 2015 · 91 citations

, , +10

Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve

Mehryar Mohri, Andrés Muñoz Medina · arXiv (Cornell University) · 2013 · 87 citations · Full text

, , +11

Revenue Optimization with Approximate Bid Predictions

Andrés Felipe Ochoa Muñoz, Sergei Vassilvitskii · arXiv (Cornell University) · 2017 · 41 citations · Full text

, , +16

Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions

Weiran Shen, Binghui Peng, Hanpeng Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 39 citations · Full text

, , +16

1–5 of 22

Authors

41

  1. TR
    Tim Roughgarden

    Stanford University, United States

    5 publications · 171 citations

    5

    h-index

  2. AM
    Andrés Muñoz Medina

    Google (United States), United States

    4 publications · 166 citations

    4

    h-index

  3. JM
    Jamie Morgenstern

    University of Pennsylvania, United States

    3 publications · 125 citations

    3

    h-index

  4. MM
    Mehryar Mohri

    Google (United States), United States

    3 publications · 131 citations

    3

    h-index

  5. MZ
    Michael Zhang

    Saint Mary's University, Canada

    2 publications · 63 citations

    2

    h-index

1–5 of 41

Institutions

26

  1. Google (United States)

    Mountain View, United States

    6 h-index

    8 publications

    234 citations

  2. Stanford University

    Stanford, United States

    5 h-index

    7 publications

    217 citations

  3. Tsinghua University

    Beijing, China

    3 h-index

    9 publications

    272 citations

  4. Courant Institute of Mathematical Sciences

    New York, United States

    3 h-index

    6 publications

    262 citations

  5. University of Pennsylvania

    Philadelphia, United States

    2 h-index

    2 publications

    34 citations

  6. Baidu (China)

    Beijing, China

    2 h-index

    10 publications

    315 citations

  7. University of Southern California

    Los Angeles, United States

    2 h-index

    3 publications

    47 citations

  8. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    2 h-index

    2 publications

    63 citations

1–8 of 26

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 221 citations

    6

    h-index

  2. Topics in Theoretical Economics

    1 publications · 14 citations

    1

    h-index

  3. ACM Transactions on Economics and Computation

    TEAC · 1 publications · 11 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 39 citations

    1

    h-index

  5. IEEE Transactions on Information Theory

    1 publications · 103 citations

    1

    h-index

1–5