We consider online allocation problems with concave revenue functions and resource
constraints, which are central problems in revenue management and online advertising. In …

In sponsored search advertising (SSA), keywords serve as the basic unit of business model,
linking three stakeholders: consumers, advertisers and search engines. This paper presents …

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 …

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 …

In online advertising markets, advertisers often purchase ad placements through bidding in
repeated auctions based on realized viewer information. We study how budget-constrained …

Since Jeff Howe introduced the term Crowdsourcing in 2006, this human-powered problem-
solving paradigm has gained a lot of attention and has been a hot research topic in the field …

There has been recent interest in using machine-learned predictions to improve the worst-
case guarantees of online algorithms. In this paper we continue this line of work by studying …

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 …

In recent years, deep reinforcement learning has shown great potential in solving computer
games with sequential decision-making scenarios. Hyper-heuristic is a generic search …

We present TestEra, a novel framework for automated testing of Java programs. TestEra
automatically generates all non-isomorphic test cases within a given input size and …