arXiv Machine Learning July 24, 2026 By Salavat Ishbulatov

Attribution Markets: A Fisher-Market Formulation for Fractional Credit Assignment Between Planned Tasks and Performed Actions

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arXiv:2607. 20694v1 Announce Type: new Abstract: Personal and organizational planning systems maintain two records that drift apart: what was planned (a task's effort budget) and what was done (a logged action's duration and description).

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arXiv Machine Learning

Jun 16

Repeated Bilateral Trade: The Quest for Fairness

arXiv:2606. 15369v1 Announce Type: new Abstract: We study repeated bilateral trade from a fairness perspective.

By Fran\c{c}ois Bachoc, Roberto Colomboni, Emilie Kaufmann

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arXiv Machine Learning

Aug 24

Adaptive Inference for Resource-Constrained Dynamic Pricing

arXiv:2606. 03736v2 Announce Type: replace-cross Abstract: We study resource-constrained dynamic pricing when the seller seeks revenue and valid inference about demand at a price fixed before the selling season.

By Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

arXiv Machine Learning

Jun 3

Human-in-the-Loop Contextual Bandits for Short-Term Rental Dynamic Pricing: Structural Equivalence of Historical Warm-Up and Approval-Gated Live Learning

arXiv:2606. 02595v1 Announce Type: new Abstract: Dynamic pricing in short-term rental (STR) markets presents a distinctive challenge for online learning algorithms: pricing decisions carry significant financial risk, operators require explainability, and market feedback is sparse (one booking outcome per listed night).

By Oleg Miroshnichenko

agents reinforcement-learning

arXiv Machine Learning

Sep 22

Plan-Driven Adaptive Bidding for First-Price Auctions with Budget Constraints under Nonstationarity

arXiv:2505.02796v3 Announce Type: replace-cross Abstract: We study budget pacing in repeated first-price auctions when an advertiser's private-value distributions change over time and the stationary...

By Yige Wang, Jiashuo Jiang

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arXiv Machine Learning

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Multi-Task Dynamic Pricing in Credit Market with Contextual Information

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benchmarks

arXiv Machine Learning

Aug 18

PRO-Bid: Pareto-Prioritized Regret Optimization for Constraint-Aware Generative Auto-Bidding

arXiv:2602. 08261v2 Announce Type: replace Abstract: Auto-bidding systems strive to maximize marketing value while maintaining high compliance with efficiency constraints, such as Target Cost-Per-Action (CPA).

By Binglin Wu, Yingyi Zhang, Xianneng Li, Ruyue Deng, Chuan Yue, Weiru Zhang, Xiaoyi Zeng

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One email a morning, machine-written

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Repeated Bilateral Trade: The Quest for Fairness

Adaptive Inference for Resource-Constrained Dynamic Pricing

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