Slides of the following seminar talks are available online.

MADDD Seminar in Winter 2020:

01/28: Gal Mishne (UCSD) Multiway Tensor Analysis with Neuroscience Applications

02/04: Randall O'Reilly (UC Davis, Psychology & Computer Science) Predictive Error-driven Learning in the Brain

02/11: Richard Levenson (UCD Med) Path ↔ Math: Opportunities for cross-disciplinary adventure

02/25: Guy Wolf (U. Montreal) Geometry-based Data Exploration

03/03: David Gamarnik (MIT Sloan School of Management) [joint with Statistics Seminar] Algorithmic Challenges in High-Dimensional Inference Models: Insights from the Statistical Physics

03/10: Will Leeb (Univ. Minnesota) Matrix Denoising with Weighted Loss

Minutes of Roundtable Discussion in Winter 2020:

01/30: Yilin Zhang (Facebook) Minutes including a link to her talk slides on Understanding Regularized Spectral Clustering via Graph Conductance

02/13: Bin Yu (UC Berkeley, Stat) Minutes including a link to her talk slides on Veridical Data Science

03/05: Ken Clarkson (IBM Research) Minutes including a link to him talk slides on Dimensionality Reduction for Tukey Regression