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Mingzhou Xie

2 accepted papers

2022

Sustainable Online Reinforcement Learning for Auto-bidding

NeurIPS 2022accept

Recently, auto-bidding technique has become an essential tool to increase the revenue of advertisers. Facing the complex and ever-changing bidding environments in the real-world advertising system (RAS), state-of-the-art auto-bidding policies usually leverage reinforcement learning (RL) algorithms t…

2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

ICML 2020poster

In E-commerce, advertising is essential for merchants to reach their target users. The typical objective is to maximize the advertiser’s cumulative revenue over a period of time under a budget constraint. In real applications, an advertisement (ad) usually needs to be exposed to the same user multip…

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