activity
20182026
most citedBudget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

93 citations · 180 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IR2026

SWIM: Step-Wise Integrated Measure for Session-supervised List Evaluation in Generative Re-ranking

Yuanhao Pu, Chenghao Zhang, Chao Feng +6

Modern industrial recommender systems have increasingly adopted the Generator-Evaluator (G-E) framework for the re-ranking stage. Within this paradigm, the generator produces candi…

cs.IR2026

SOLAR: SVD-Optimized Lifelong Attention for Recommendation

Chenghao Zhang, Chao Feng, Yuanhao Pu +9

Attention mechanism remains the defining operator in Transformers since it provides expressive global credit assignment, yet its quadratic cost in sequence length N makes long-cont…

cs.GT2022

Impression Allocation and Policy Search in Display Advertising

Di Wu, Cheng Chen, Xiujun Chen +5

In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. For large publishers, simultaneously selling…

eess.SY2021★ 4 cited

Computation Resource Allocation Solution in Recommender Systems

Xun Yang, Yunli Wang, Cheng Chen +4

Recommender systems rely heavily on increasing computation resources to improve their business goal. By deploying computation-intensive models and algorithms, these systems are abl…

cs.GT2019★ 74 cited

Bid Optimization by Multivariable Control in Display Advertising

Xun Yang, Yasong Li, Hao Wang +4

Real-Time Bidding (RTB) is an important paradigm in display advertising, where advertisers utilize extended information and algorithms served by Demand Side Platforms (DSPs) to imp…

cs.AI2018★ 9 cited

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

Di Wu, Cheng Chen, Xun Yang +4

In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. Despite the increasing popularity of RTB, th…

cs.AI2018★ 93 cited

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Di Wu, Xiujun Chen, Xun Yang +5

Real-time bidding (RTB) is an important mechanism in online display advertising, where a proper bid for each page view plays an essential role for good marketing results. Budget co…