The Data-Driven Discovery of Models (D3M) program aims to develop automated model discovery systems that enable users with subject matter expertise but no data science background to create empirical models of real, complex processes. At the NYU VIDA Center we address three important challenges in automating machine learning: pipeline synthesis, model understanding/curation and data augmentation.
NEWS & EVENTS
09/2020 AlphaD3M+PipelineProfiler was selected as one of the finalists in a machine-learning competition organized by Wells Fargo.
08/2020 Paper “PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines” has been accepted at VIS2020.
09/2019 Visus system has been accepted to the Demo Expo at NYC Media Lab’s Annual Summit.
09/2019 AlphaD3M and Visus .
05/2019 Paper “Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar” accepted at AutoML’19.
05/2019 A paper accepted at DEEM’19: “Debugging Machine Learning Pipelines”.
04/2019 New publication accepted at HILDA’19 (co-located with SIGMOD): “Visus: An Interactive System for Automatic Machine Learning Model Building and Curation”.
06/2018 Paper “AlphaD3M: Machine Learning Pipeline Synthesis” accepted at AutoML’18.