In large-scale networked systems such as online marketplaces and advertising exchanges, real-time decision-making under dynamic environments is a fundamental challenge. A widely adopted paradigm is the predict-then-optimize workflow, where the prediction stage estimates key factors for decisions, and the optimization s...
Qi-Long Lin, Zhen-Zhe Zheng, Zi-Xiao Wang et al.· Proceedings of the Twenty-se...· 0 citations
This work calibrates the tractable one-period objective using an auxiliary memoryless discounted surrogate, and yields an Equimarginal Principle requiring efficient platforms to equalize the marginal retention efficiency of assignment and contracting.
Yu-Mou Liu, Zhen-Zhe Zheng, Jiang Rong et al.· ACM Interational Symposium o...· 0 citations
AgentX-Model, the next generation of AgentX's model research framework, is presented, which connects proposal development and model experimentation within sandboxes defined by business inputs and prediction tasks within sandboxes defined by business inputs and prediction tasks.
Shuang Yang, Zi-Jie Zhuang, Chang-Xin Lao et al.· 0 citations
The proposed PPDL, a novel forecasting framework that integrates physical priors with deep learning, is validated through comprehensive experiments on industrial-scale datasets, and achieves improvements across different backbones and significantly outperforms existing online solutions.
Zi-Bo Zhao, Zheng-Xiong Guan, Chaoli Zhang et al.· 0 citations
EStream introduces a hardware-aware configuration algorithm that automatically configures the UFS--NPU pipeline and maximizes loading--computation overlap and introduces a hardware-aware configuration algorithm that automatically configures the UFS--NPU pipeline and maximizes loading--computation overlap.
Jun-Ming Zhang, Zhen-Zhe Zheng, Fan Wu et al.· 0 citations
This work investigates the design of two-stage auctions that allow advertisers to submit and update their bids, with second-stage bids serving as refinements of the initial ones, and proposes a dynamic two-stage auction that adopts realization-dependent entry fees with discounts.
Yidan Xing, Rui Guo, Yi-Xin Tao et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
