math.OC · 2026-07-30 · No. 69

Optimization and Control, 2026-07-30.

1 new papers in math.OC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Adaptive Gradient-Based Methods for a Broader Class of Optimization Problems under Performative Prediction

    Hiroki Hamaguchi, Yuya Hikima, Hiroshi Sawada, Akiko Takeda

    math.OC · cs.LG

    We study optimization under performative prediction, where deploying a model affects the future data distribution. For this setting, several gradient-based approaches have been proposed. However, they typically assume specific data distributions or loss functions, which limit their practical applicability. To overcome these limitations, we propose a gradient-based optimization method with convergence guarantees under substantially weaker...

    arxiv.org/abs/2607.26562 · PDF

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