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In this paper, we analyze a natural learning algorithm for uniform pacing of advertising budgets, equipped to adapt to varying ad sale platform conditions. On the demand side, advertisers face a fundamental technical challenge in automating…

Computer Science and Game Theory · Computer Science 2022-11-14 MohammadTaghi Hajiaghayi , Max Springer

Today, billions of display ad impressions are purchased on a daily basis through a public auction hosted by real time bidding (RTB) exchanges. A decision has to be made for advertisers to submit a bid for each selected RTB ad request in…

Computer Science and Game Theory · Computer Science 2013-05-15 Kuang-Chih Lee , Ali Jalali , Ali Dasdan

Budget-management systems are one of the key components of modern auction markets. Internet advertising platforms typically offer advertisers the possibility to pace the rate at which their budget is depleted, through budget-pacing…

Computer Science and Game Theory · Computer Science 2021-06-18 Andrea Celli , Riccardo Colini-Baldeschi , Christian Kroer , Eric Sodomka

For Verizon MediaDemand Side Platform(DSP), forecasting of ad campaign performance not only feeds key information to the optimization server to allow the system to operate on a high-performance mode, but also produces actionable insights to…

Machine Learning · Statistics 2021-07-16 Hao He , Tian Zhou , Lihua Ren , Niklas Karlsson , Aaron Flores

Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals. Ad serving systems (like display and search advertising systems) that assign ads to pages should satisfy…

Machine Learning · Computer Science 2019-10-09 Chao Wei , Weiru Zhang , Shengjie Sun , Fei Li , Xiaonan Meng , Yi Hu , Hao Wang

In online advertising markets, budget-constrained advertisers acquire ad placements through repeated bidding in auctions on various platforms. We present a strategy for bidding optimally in a set of auctions that may or may not be…

Computer Science and Game Theory · Computer Science 2023-06-14 Fransisca Susan , Negin Golrezaei , Okke Schrijvers

Budget pacing is critical in online advertising to align spend with campaign goals under dynamic auctions. Existing pacing methods often rely on ad-hoc parameter tuning, which can be unstable and inefficient. We propose a principled…

Machine Learning · Computer Science 2026-03-10 Sreeja Apparaju , Yichuan Niu , Xixi Qi

A typical real-time ad-serving funnel comprises ad targeting, conversion modeling (e.g., click-through rate prediction), budget pacing (bidding), and auction processes. While there is a wealth of research and articles on ad targeting and…

Computer Science and Game Theory · Computer Science 2025-03-11 Yuanlong Chen

Online advertising has been introduced as one of the most efficient methods of advertising throughout the recent years. Yet, advertisers are concerned about the efficiency of their online advertising campaigns and consequently, would like…

Machine Learning · Computer Science 2013-05-15 Ali Jalali , Santanu Kolay , Peter Foldes , Ali Dasdan

In this paper, we consider the problem of optimizing the revenue a web publisher gets through real-time bidding (i.e. from ads sold in real-time auctions) and direct (i.e. from ads sold through contracts agreed in advance). We consider a…

Computer Science and Game Theory · Computer Science 2020-06-15 Grégoire Jauvion , Nicolas Grislain

In online revenue systems, e.g. an advertising system, budget pacing plays a critical role in ensuring that the spend aligns with desired financial objectives. Pacing systems dynamically control the velocity of spending to balance auction…

Systems and Control · Electrical Eng. & Systems 2025-04-15 Yichuan Niu , Jianhui Chen

Budget pacing is a popular service that has been offered by major internet advertising platforms since their inception. Budget pacing systems seek to optimize advertiser returns subject to budget constraints by smoothly spending advertiser…

Computer Science and Game Theory · Computer Science 2023-12-18 Santiago R. Balseiro , Kshipra Bhawalkar , Zhe Feng , Haihao Lu , Vahab Mirrokni , Balasubramanian Sivan , Di Wang

Online retailers often use third-party demand-side-platforms (DSPs) to conduct offsite advertising and reach shoppers across the Internet on behalf of their advertisers. The process involves the retailer participating in instant auctions…

Systems and Control · Electrical Eng. & Systems 2023-10-26 Hangjian Li , Dong Xu , Konstantin Shmakov , Kuang-Chih Lee , Wei Shen

In programmatic advertising, ad slots are usually sold using second-price (SP) auctions in real-time. The highest bidding advertiser wins but pays only the second-highest bid (known as the winning price). In SP, for a single item, the…

Machine Learning · Computer Science 2020-01-22 Aritra Ghosh , Saayan Mitra , Somdeb Sarkhel , Jason Xie , Gang Wu , Viswanathan Swaminathan

Despite their remarkable success in complex tasks propelling widespread adoption, large language-model-based agents still face critical deployment challenges due to prohibitive latency and inference costs. While recent work has explored…

Artificial Intelligence · Computer Science 2025-09-23 Yilin Guan , Qingfeng Lan , Sun Fei , Dujian Ding , Devang Acharya , Chi Wang , William Yang Wang , Wenyue Hua

While it is relatively easy to start an online advertising campaign, obtaining a high Key Performance Indicator (KPI) can be challenging. A large body of work on this subject has already been performed and platforms known as DSPs are…

Computer Science and Game Theory · Computer Science 2018-08-10 Gianluca Micchi , Saeid Soheily-Khah , Jacob Turner

Advertisers usually enjoy the flexibility to choose criteria like target audience, geographic area and bid price when planning an campaign for online display advertising, while they lack forecast information on campaign performance to…

Machine Learning · Computer Science 2022-02-25 Jun Chen , Cheng Chen , Huayue Zhang , Qing Tan

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 improve advertising performance. A common problem for DSPs is…

Computer Science and Game Theory · Computer Science 2019-05-30 Xun Yang , Yasong Li , Hao Wang , Di Wu , Qing Tan , Jian Xu , Kun Gai

Major Internet advertising platforms offer budget pacing tools as a standard service for advertisers to manage their ad campaigns. Given the inherent non-stationarity in an advertiser's value and also competing advertisers' values over…

Machine Learning · Computer Science 2023-02-07 Santiago Balseiro , Rachitesh Kumar , Vahab Mirrokni , Balasubramanian Sivan , Di Wang

The majority of online marketplaces offer promotion programs to sellers to acquire additional customers for their products. These programs typically allow sellers to allocate advertising budgets to promote their products, with higher…

Computer Science and Game Theory · Computer Science 2025-02-05 Anastasiia Soboleva , Alexander Ledovsky , Yuriy Dorn , Egor Samosvat , Andrey Tikhanov , Fyodor Prazdnikov
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