works on
convergence analysis 1distribution shift 1finite-difference estimation 1gradient-based optimization 1performative prediction 1

From the 1 of 2 linked papers with an AI index.

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2026

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

Hiroki Hamaguchi, Yuya Hikima, Hiroshi Sawada +1

The paper proposes a gradient-based optimization algorithm that estimates distribution shifts via finite differences, providing convergence guarantees for a wider range of loss fun…