21 citations · 57 across the 5 of their papers we have counts for
5 papers
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori, Yamuna Krishnamurthy, Remi Rampin +5
We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations…
Auctus: A Dataset Search Engine for Data Augmentation
Sonia Castelo, Rémi Rampin, Aécio Santos +3
The large volumes of structured data currently available, from Web tables to open-data portals and enterprise data, open up new opportunities for progress in answering many importa…
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Iddo Drori, Yamuna Krishnamurthy, Raoni Lourenco +4
Automatic machine learning is an important problem in the forefront of machine learning. The strongest AutoML systems are based on neural networks, evolutionary algorithms, and Bay…
ReproServer: Making Reproducibility Easier and Less Intensive
Remi Rampin, Fernando Chirigati, Vicky Steeves +1
Reproducibility in the computational sciences has been stymied because of the complex and rapidly changing computational environments in which modern research takes place. While ma…
A Collaborative Approach to Computational Reproducibility
Fernando Chirigati, Rebecca Capone, Dennis Shasha +2
Although a standard in natural science, reproducibility has been only episodically applied in experimental computer science. Scientific papers often present a large number of table…