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Found 7 papers, 0 papers with code
Simulation Intelligence: Towards a New Generation of Scientific Methods
We present the "Nine Motifs of Simulation Intelligence", a roadmap for the development and integration of the essential algorithms necessary for a merger of scientific computing, scientific simulation, and artificial intelligence.
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources
Institutions are increasingly relying on machine learning models to identify and alert on abnormal events, such as fraud, cyber attacks and system failures.
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
We consider a problem wherein jobs arrive at random times and assume random values.
Copula Flows for Synthetic Data Generation
Learning the probabilistic model for the data is equivalent to estimating the density of the data.
SURF: Improving classifiers in production by learning from busy and noisy end users
We show that conventional crowdsourcing algorithms struggle in this user feedback setting, and present a new algorithm, SURF, that can cope with this non-response ambiguity.
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users
Document classification is ubiquitous in a business setting, but often the end users of a classifier are engaged in an ongoing feedback-retrain loop with the team that maintain it.
On the Importance of Opponent Modeling in Auction Markets
The dynamics of financial markets are driven by the interactions between participants, as well as the trading mechanisms and regulatory frameworks that govern these interactions.
