51 citations · 71 across the 4 of their papers we have counts for
4 papers
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents
Manxing Du, Alexander I. Cowen-Rivers, Ying Wen +4
Real-time bidding, as one of the most popular mechanisms for selling online ad slots, facilitates advertisers to reach their potential customers. The goal of bidding optimization i…
Improving Missing Data Imputation with Deep Generative Models
Ramiro D. Camino, Christian A. Hammerschmidt, Radu State
Datasets with missing values are very common on industry applications, and they can have a negative impact on machine learning models. Recent studies introduced solutions to the pr…
The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts
Christof Ferreira Torres, Mathis Steichen, Radu State
Modern blockchains, such as Ethereum, enable the execution of so-called smart contracts - programs that are executed across a decentralised network of nodes. As smart contracts bec…
Interpreting Finite Automata for Sequential Data
Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin +1
Automaton models are often seen as interpretable models. Interpretability itself is not well defined: it remains unclear what interpretability means without first explicitly specif…