Symposium Winter 2021

The 2021 MINDS Symposium on the Foundations of Data Science will be held on January 28, February 9 & February 10 virtually over Zoom.

Leading data science researchers will discuss the importance of data science in their fields and the continued need for advancement.

Confirmed Speakers

Morgane Austern: Microsoft Research New England	Luiz Chamon: University of Pennsylvania	Sarah Dean: UC Berkeley
Michał Dereziński: UC Berkeley	Mateo Díaz: Cornell University	Raaz Dwivedi: UC Berkeley
Wei Hu: Princeton University	Nicolas Loizou: Université de Montréal	Melanie Weber: Princeton University
Dana Yang: Duke University	Zhuoran Yang: Princeton University

Time	Speaker	Affiliation	Title of Presentation
Thursday January 28
Morgane Austern	09:30-10:30 AM EST	Microsoft Research New England	Asymptotics of learning on dependent and structured random objects
Michał Dereziński	10:45-11:45 AM EST	University of California, Berkeley	Bridging algorithmic and statistical randomness in machine learning
Zhuoran Yang	12:00-01:00 PM EST	Princeton University	Demystifying (deep) reinforcement learning: the optimist, the pessimist, and their provable efficiency
Nicolas Loizou	01:15-02:15 PM EST	Université de Montréal	Large-Scale Optimization for Machine Learning and Data Science
Dana Yang	02:30-03:30 PM EST	Duke University	Sharp thresholds for the recovery of hidden nearest neighbor graphs
Mateo Díaz	03:45-04:45 PM EST	Cornell University	Composite optimization for robust low-rank matrix recovery: good conditioning and rapid convergence
Melanie Weber	05:00-05:45 PM EST	Princeton University	Geometric Methods for Machine Learning and Optimization
Tuesday February 9
Luiz Chamon	09:30-10:30 AM EST	University of Pennsylvania	Learning under requirements
Wei Hu	10:45-11:45 AM EST	Princeton University	Opening the Black Box: Towards Theoretical Understanding of Deep Learning
Raaz Dwivedi	12:00-01:00 PM EST	UC Berkeley	Subgroup discovery in randomized experiments and non-asymptotic results for MCMC sampling
Wednesday February 10
Sarah Dean	11:00 AM -12:00 PM EST	UC Berkeley	Reliable Machine Learning in Feedback Systems