The 2020 MINDS Symposium on the Foundations of Data Science held February 18 & 20, 2020 in Hodson Hall.
Leading data science researchers will discuss the importance of data science in their fields and the continued need for advancement.
|Time||Speaker||Affiliation||Title of Presentation|
Tuesday Feb 18
|3:00 pm||Kaizheng Wang||Princeton University||Latent variable models: spectral methods and non-convex optimization|
Thursday Feb 20
|9:00 am||Mahyar Fazlyab||University of Pennsylvania||Safe Deep Learning: A Robust Control Approach|
|10:00 am||Vidya Muthukumar||University of California, Berkeley||Fundamental perspectives on machine learning: Strategic agents and contemporary models|
|11:00 am||Ashia Wilson||Microsoft Research, New England||Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness|
|12:00 pm||Jingbo Liu||MIT Institute for Data, Systems, and Society (IDSS)||Continuous limits in large systems and statistical inference|
|2:00 pm||Matteo Sesia||Stanford University||Gene hunting with knockoffs|
|3:00 pm||Santiago Paternain||University of Pennsylvania||Constrained Learning for Dynamical Systems|
|4:00 pm||Fernando Gama||University of Pennsylvania||Graph Neural Networks in Collaborative Intelligent Systems|
Tuesday Mar 17
|12:00 pm||Ashwin Pananjady||University of California Berkeley||Statistics meets computation: Trade-offs between interpretability and flexibility|