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cs.LG2026
OneBid: A Unified Auto-Bidding Foundation Model for Diverse oCPX Advertising Scenarios
Yewen Li, Peng Jiang, Yitian Li +3
Auto-bidding is central to computational advertising, where strategies must maximize advertisers' conversion value under economic constraints. It has evolved from rule-based contro…
cs.LG2026
C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
Jinren Ding, Xuejian Xu, Shen Jiang +3
Decision Transformer (DT) shows promise for generative auto-bidding by capturing temporal dependencies, but suffers from two critical limitations: insufficient cross-correlation mo…