Frontiers in Computing + Mathematical Sciences

Monday, January 29, 2018 (Schedule & Abstracts)

Location: 105 Annenberg
Time Speaker
9:00 Introduction
Venkat Chandrasekaran, Caltech
9:15 Approximate MCMC in Theory and Practice
James Johndrow, Stanford University
10:15 Coffee Break (Annenberg Lobby)
10:45 Sparse Linear Algebra in the Exascale Era
Erin Carson, New York University
1:00 Interactive Algorithms for Multiple Hypothesis Testing
Aaditya Ramdas, UC Berkeley
2:00 Coffee Break (Annenberg Lobby)
2:30 Imaging the Invisible
Katie Bouman, MIT
3:30 Coffee Break (Annenberg Lobby)
4:00 Machine Learning By the People, For the People
Nika Haghtalab, Carnegie Mellon University

Monday, February 5, 2018 (Schedule & Abstracts)

Location: 105 Annenberg
Time Speaker
9:00 Introduction
Venkat Chandrasekaran, Caltech
9:15 Securing Computation on Untrusted Platforms
Justin Holmgren, MIT
10:15 Coffee Break (Annenberg Lobby)
10:45 An Algorithm for Overcoming the Curse of Dimensionality in Hamilton-Jacobi Equations
Yat Tin (Raymond) Chow, UCLA
1:00 Large Sample Asymptotics of Graph-Based Methods in Machine Learning: Mathematical Analysis and Implications
Nicolas Garcia Trillos, Brown University
2:00 Coffee Break (Annenberg Lobby)
2:30 A Conditional Gaussian Framework for Uncertainty Quantification, Data Assimilation and Prediction of Complex Nonlinear Turbulent Dynamical Systems
Nan Chen, New York University
3:30 Coffee Break (Annenberg Lobby)
4:00 Inverse Problems and Unsupervised Learning with Applications to Cryo-Electron Microscopy
Roy Lederman, Princeton University