Researchers have developed a dual-gradient-descent-based bidding policy for budget-constrained bidders participating in non-stationary first-price auctions, addressing an industry shift from second-price to first-price auctions in display advertising. This adaptive approach optimizes cumulative payoffs by adjusting bids based on real-time budget consumption and future value predictions, significantly reducing performance loss compared to optimal policies with complete information.
Read the full article at arXiv cs.LG (ML)
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