When Privacy Moves ML-Mediated Decisions On Device: Information and Incentive Misalignment in Auctions

arXiv:2609.33312 · cs.GT, cs.DC, cs.LG · Submitted 2026-09-27 · Read on arXiv

cs.GT, cs.DC, cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Robustness — 7× in this paper · explained in 5 episodes
• Regret — 6× in this paper · explained in 3 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Institutional Review Board — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Allocator — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes

Sources

• Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising
• Smart Pacing for Effective Online Ad Campaign Optimization
• Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence
• Online Learning under Delayed Feedback
• WildChat: 1M ChatGPT Interaction Logs in the Wild
• gpt-oss-120b & gpt-oss-20b Model Card
• Real-Time Bidding Benchmarking with iPinYou Dataset

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