Real-time bidding by reinforcement learning in display advertising
The majority of online display ads are served through real-time bidding (RTB)---each ad
display impression is auctioned off in real-time when it is just being generated from a user …
display impression is auctioned off in real-time when it is just being generated from a user …
Bandits with knapsacks
Multi-armed bandit problems are the predominant theoretical model of exploration-
exploitation tradeoffs in learning, and they have countless applications ranging from medical …
exploitation tradeoffs in learning, and they have countless applications ranging from medical …
Optimal real-time bidding for display advertising
In this paper we study bid optimisation for real-time bidding (RTB) based display advertising.
RTB allows advertisers to bid on a display ad impression in real time when it is being …
RTB allows advertisers to bid on a display ad impression in real time when it is being …
Display advertising with real-time bidding (RTB) and behavioural targeting
The most significant progress in recent years in online display advertising is what is known
as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates …
as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates …
Achieving fairness in the stochastic multi-armed bandit problem
We study an interesting variant of the stochastic multi-armed bandit problem, which we call
the Fair-MAB problem, where, in addition to the objective of maximizing the sum of expected …
the Fair-MAB problem, where, in addition to the objective of maximizing the sum of expected …
Budget constrained bidding by model-free reinforcement learning in display advertising
D Wu, X Chen, X Yang, H Wang, Q Tan… - Proceedings of the 27th …, 2018 - dl.acm.org
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 …
proper bid for each page view plays an essential role for good marketing results. Budget …
Learning theory and algorithms for revenue optimization in second price auctions with reserve
Second-price auctions with reserve play a critical role for modern search engine and
popular online sites since the revenue of these companies often directly depends on the …
popular online sites since the revenue of these companies often directly depends on the …
Multiplicative pacing equilibria in auction markets
Budgets play a significant role in real-world sequential auction markets such as those
implemented by internet companies. To maximize the value provided to auction participants …
implemented by internet companies. To maximize the value provided to auction participants …
Bidding machine: Learning to bid for directly optimizing profits in display advertising
Real-time bidding (RTB) based display advertising has become one of the key technological
advances in computational advertising. RTB enables advertisers to buy individual ad …
advances in computational advertising. RTB enables advertisers to buy individual ad …
Deep reinforcement learning for sponsored search real-time bidding
Bidding optimization is one of the most critical problems in online advertising. Sponsored
search (SS) auction, due to the randomness of user query behavior and platform nature …
search (SS) auction, due to the randomness of user query behavior and platform nature …