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20192022
most citedCopula Flows for Synthetic Data Generation

38 citations · 46 across the 5 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.AI2021

Simulation Intelligence: Towards a New Generation of Scientific Methods

Alexander Lavin, David Krakauer, Hector Zenil +21

The original "Seven Motifs" set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of comput…

cs.LG2021

Tradeoffs in Streaming Binary Classification under Limited Inspection Resources

Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa +2

Institutions are increasingly relying on machine learning models to identify and alert on abnormal events, such as fraud, cyber attacks and system failures. These alerts often need…

cs.AI2021

Non-Parametric Stochastic Sequential Assignment With Random Arrival Times

Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa +1

We consider a problem wherein jobs arrive at random times and assume random values. Upon each job arrival, the decision-maker must decide immediately whether or not to accept the j…

cs.CL2021

Advising Agent for Service-Providing Live-Chat Operators

Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa +4

Call centers, in which human operators attend clients using textual chat, are very common in modern e-commerce. Training enough skilled operators who are able to provide good servi…

stat.ML2021★ 38 cited

Copula Flows for Synthetic Data Generation

Sanket Kamthe, Samuel Assefa, Marc Deisenroth

The ability to generate high-fidelity synthetic data is crucial when available (real) data is limited or where privacy and data protection standards allow only for limited use of t…