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– Panel: Robustness and Stability in Data Science part 2
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Classroom Contents
ACM-IMS Interdisciplinary Summit on the Foundations of Data Science
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- 1 – Introduction
- 2 – Keynote Talk: "Making the Black Box Effective: What Statistics Can Offer"
- 3 – Panel: Deep Learning, Reinforcement Learning, and Role of Methods in Data Science
- 4 – Panel: Robustness and Stability in Data Science part 1
- 5 – Panel: Robustness and Stability in Data Science part 2
- 6 – Panel: Fairness and Ethics in Data Science Moderator: Yannis Ioannidis, National and Kapodistrian University of Athens
- 7 – Keynote Talk: "Deep Learning for Tackling Real-World Problems"
- 8 – Keynote Talk: "Machine Learning: A New Approach to Drug Discovery" Daphne Koller, insitro, with introduction by Kristian Lum, Human Rights Data Analysis Group
- 9 – Panel: Future of Data Science Moderator: David Madigan, Columbia University; Panelists: Michael I. Jordan, University of California, Berkeley, Jeannette Wing, Columbia University
