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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 …
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
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 with common priors when the tie-breaking rule is part of the input. We …
First Price Auction is 1-1/e2 Efficient
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 …
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
We study the computational complexity of computing Bayes-Nash equilibria in first-price
auctions with discrete value distributions and discrete bidding space, under general …
auctions with discrete value distributions and discrete bidding space, under general …
Nash convergence of mean-based learning algorithms in first price auctions
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 …
timely and important question in the area of learning in auctions, with numerous applications …
Learning to Bid in Contextual First Price Auctions✱
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 …
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
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 …
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
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 …
advertising and real estate. The complexity of real-world scenarios, characterized by diverse …
Evolution strategies for approximate solution of Bayesian games
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 …
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
The upcoming 5G and beyond wireless networking technologies are intended to coexist with
different communication networks to solve the spectrum scarcity problem. The seamless …
different communication networks to solve the spectrum scarcity problem. The seamless …