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Yan-Chen Jiang

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#machine learning Preprint Sep 2026

Efficient Online Inverse Optimization with $O(d)$ Regret

We give a deterministic algorithm for online inverse linear optimization with regret $O(d)$, uniform in the horizon and $O(d^{2})$ time per round. A bound of this order was obtained recently by Dewasurendra, settling a question of Gollapudi et al.\ and of Oki and Sakaue, but by an improper rule that enumerates covers a...

Yang Cai, Anupam Gupta, Vineet Gupta et al. · 2 citations · ⚡1

Data Market Design through Deep Learning

The experiments demonstrate that this new deep learning framework can almost precisely replicate all known solutions from theory, expand to more complex settings, and be used to establish the optimality of new designs for data markets and make conjectures in regard to the structure of optimal designs.

S. Ravindranath, Yan-Chen Jiang, David C. Parkes · 17 citations

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