Data-driven Discovery of Models (D3M)

Final Program

Held in conjunction with the
IEEE International Conference on Data Mining (ICDM)
New Orleans, Louisiana, USA, 18 November 2017

This workshop is about data-driven approaches to model discovery. These approaches aim at developing systems that enable users with subject matter expertise but no data science background to create empirical models of real, complex processes. As a result, 1) subject matter experts are empowered to create empirical models without the need for data scientists, and 2) expert data scientists experience increased productivity through automation.

Workshop Program

8:30 Welcome

8:35 Paper Session

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization (25 min)

Jialin Dong, Kai Yang, and Yuanming Shi

A central limit theorem for an omnibus embedding of multiple random dot product graphs (25 min)

Keith Levin, Avanti Athreya, Minh Tang, Vince Lyzinski, and Carey Priebe

Feature Selection in Learning Using Privileged Information (25 min)

Rauf Izmailov, Blerta Lindqvist, and Peter Lin

10:05 Break

10:20 Paper Session

Dataset Selection for Controlling Swarms by Visual Demonstration (25 min)

Karan Budhraja and Tim Oates

Discrimination At The Edge of Noise: A Hilbert Space of Stationary Ergodic Processes (15 min)

Ishanu Chattopadhyay

11:00 Invited Contribution

Automated Feature Engineering for Predictive Modeling

Horst Samulowitz, IBM TJ Watson

11:45 Wrap-up

11:50 Lunch

Organization

Co-chairs

Ishanu Chattopadhyay, University of Chicago
Christophe Giraud-Carrier, Brigham Young University
Madeleine Udell, Cornell University

Please direct questions to Christophe Giraud-Carrier

Program Committee

Rauf Izmailov, Vencore Labs
Avi Pfeffer, Charles River Analytics Inc.
Carey Priebe, Johns Hopkins University
Juliana Freire, New York University
Michael Mahoney, University of California Berkeley
Stephen Bach, Stanford University
Scott Langevin, Unchartered Software
Mukesh Dalal, Charles River Analytics
Hod Lipson, Columbia University
Artur Dubrawski, Carnegie Mellon University
Eric Nyberg, Carnegie Mellon University
Kyle Miller, Carnegie Mellon University
Barnabas Poczos, Carnegie Mellon University
William Cleveland, Purdue University
Mayank Kejriwal, University of Southern California, ISI