English

Tight Regret Bounds for Fixed-Price Bilateral Trade

Computer Science and Game Theory 2026-05-20 v3 Machine Learning

Abstract

We examine fixed-price mechanisms in bilateral trade through the lens of regret minimization. Our main results are twofold. (i) For independent values, a near-optimal Θ~(T2/3)\widetilde{\Theta}(T^{2/3}) tight bound for Global Budget Balance\textsf{Global Budget Balance} fixed-price mechanisms with two-bit/one-bit feedback. (ii) For correlated/adversarial values, a near-optimal Ω(T3/4)\Omega(T^{3/4}) lower bound for Global Budget Balance\textsf{Global Budget Balance} fixed-price mechanisms with two-bit/one-bit feedback, which improves the best known Ω(T5/7)\Omega(T^{5/7}) lower bound obtained in the work [BCCF24] and, up to polylogarithmic factors, matches the O~(T3/4)\widetilde{\mathcal{O}}(T^{3 / 4}) upper bound obtained in the same work. Our work in combination with the previous works [CCCFL24mor, CCCFL24jmlr, AFF24, BCCF24] (essentially) gives a thorough understanding of regret minimization for fixed-price bilateral trade. En route, we have developed two technical ingredients that might be of independent interest: (i) A novel algorithmic paradigm, called fractal elimination\textit{{fractal elimination}}, to address one-bit feedback and independent values. (ii) A new lower-bound construction\textit{lower-bound construction} with novel proof techniques, to address the Global Budget Balance\textsf{Global Budget Balance} constraint and correlated values.

Keywords

Cite

@article{arxiv.2504.04349,
  title  = {Tight Regret Bounds for Fixed-Price Bilateral Trade},
  author = {Houshuang Chen and Yaonan Jin and Pinyan Lu and Chihao Zhang},
  journal= {arXiv preprint arXiv:2504.04349},
  year   = {2026}
}