215 citations · 888 across the 37 of their papers we have counts for
4 papers · 1 filter
Learning Vine Copula Models For Synthetic Data Generation
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
A vine copula model is a flexible high-dimensional dependence model which uses only bivariate building blocks. However, the number of possible configurations of a vine copula grows…
Prediction Factory: automated development and collaborative evaluation of predictive models
Gaurav Sheni, Benjamin Schreck, Roy Wedge +2
In this paper, we present a data science automation system called Prediction Factory. The system uses several key automation algorithms to enable data scientists to rapidly develop…
Synthesizing Tabular Data using Generative Adversarial Networks
Lei Xu, Kalyan Veeramachaneni
Generative adversarial networks (GANs) implicitly learn the probability distribution of a dataset and can draw samples from the distribution. This paper presents, Tabular GAN (TGAN…
Machine learning 2.0 : Engineering Data Driven AI Products
James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni
ML 2.0: In this paper, we propose a paradigm shift from the current practice of creating machine learning models - which requires months-long discovery, exploration and "feasibilit…