On the complexity of equilibrium computation in first-price auctions

A Filos-Ratsikas, Y Giannakopoulos… - Proceedings of the …, 2021 - dl.acm.org
We consider the problem of computing a (pure) Bayes-Nash equilibrium in the first-price
auction with continuous value distributions and discrete bidding space. We prove that when …

Complexity of equilibria in first-price auctions under general tie-breaking rules

X Chen, B Peng - Proceedings of the 55th Annual ACM Symposium on …, 2023 - dl.acm.org
We study the complexity of finding an approximate (pure) Bayesian Nash equilibrium in a
first-price auction with common priors when the tie-breaking rule is part of the input. We …

First Price Auction is 1-1/e2 Efficient

Y **, P Lu - Journal of the ACM, 2023 - dl.acm.org
First Price Auction is 1-1/<italic toggle='yes'>e</italic><sup>2</sup> Efficient Page 1 36 First
Price Auction is 1 − 1/e2 Efficient YAONAN JIN, Huawei TCS Lab, China PINYAN LU …

On the computation of equilibria in discrete first-price auctions

A Filos-Ratsikas, Y Giannakopoulos… - Proceedings of the 25th …, 2024 - dl.acm.org
We study the computational complexity of computing Bayes-Nash equilibria in first-price
auctions with discrete value distributions and discrete bidding space, under general …

Nash convergence of mean-based learning algorithms in first price auctions

X Deng, X Hu, T Lin, W Zheng - … of the ACM Web Conference 2022, 2022 - dl.acm.org
Understanding the convergence properties of learning dynamics in repeated auctions is a
timely and important question in the area of learning in auctions, with numerous applications …

Learning to Bid in Contextual First Price Auctions✱

A Badanidiyuru, Z Feng, G Guruganesh - Proceedings of the ACM Web …, 2023 - dl.acm.org
In this work, we investigate the problem of how to bid in repeated contextual first price
auctions for a single learner (the bidder). Concretely, at each time t, the learner receives a …

[HTML][HTML] Security auctions with cash-and equity-bids: An experimental study

E Bajoori, R Peeters, L Wolk - European economic review, 2024 - Elsevier
We study the performance of cash-and equity-bid security auctions in an experiment using
first-and second-price pricing rules. Theory predicts revenue equivalence between first-and …

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games

K Huang, Z Chen, X Wang, C Gao, J Gao… - … on Machine Learning, 2024 - openreview.net
Auction games have been widely used in plenty of trading environments such as online
advertising and real estate. The complexity of real-world scenarios, characterized by diverse …

Evolution strategies for approximate solution of Bayesian games

Z Li, MP Wellman - Proceedings of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
We address the problem of solving complex Bayesian games, characterized by high-
dimensional type and action spaces, many (> 2) players, and general-sum payoffs. Our …

AFSOS: An auction framework and Stackelberg game oriented optimal network's resource selection technique in cognitive radio networks

MS Gupta, K Kumar - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
The upcoming 5G and beyond wireless networking technologies are intended to coexist with
different communication networks to solve the spectrum scarcity problem. The seamless …