Data Science Seminar

September 03, 2019 - August 31, 2020

Content

Overview

Organizers:

Schedule

Tuesday, September 03, 2019
			Video
1:25 pm - 2:25 pm	Where and What to Look: Learning to Understand the Visual World in Autistic Brains Catherine Zhao (University of Minnesota, Twin Cities)	Lind 305

Tuesday, September 10, 2019
			Video
1:25 pm - 2:25 pm	Taming Nonconvexity: From Smooth to Nonsmooth Problems and Beyond Ju Sun (University of Minnesota, Twin Cities)	Lind 305

Tuesday, September 17, 2019
			Video
1:25 pm - 2:25 pm	Optimal Recovery under Approximability Models, with Applications Simon Foucart (Texas A & M University)	Lind 305

Tuesday, September 24, 2019
			Video
1:25 pm - 2:25 pm	The Geometry of Ambiguity in One-dimensional Phase Retrieval Dan Edidin (University of Missouri)	Lind 305

Tuesday, October 01, 2019
			Video
1:25 pm - 2:25 pm	Citizen Science and Machine Learning at Zooniverse Darryl Wright (University of Minnesota, Twin Cities)	Lind 305

Tuesday, October 08, 2019
			Video
1:25 pm - 2:25 pm	Parallel Transport Convolutional Neural Networks on Manifolds Rongjie Lai (Rensselaer Polytechnic Institute)	Lind 305

Tuesday, October 15, 2019
			Video
12:30 pm - 1:30 pm	Simple Approaches to Complicated Data Analysis Deanna Needell (University of California, Los Angeles)	Lind 305

Tuesday, October 22, 2019
			Video
1:25 pm - 2:25 pm	Convergence Rates and Semiconvexity Estimates for the Continuum Limit of Nondominated Sorting Brendan Cook (University of Minnesota, Twin Cities)	Lind 305

Tuesday, October 29, 2019
			Video
1:25 pm - 2:25 pm	Highly Likely Clusterable Data With No Cluster Mimi Boutin (Purdue University)	Lind 305

Tuesday, November 05, 2019
			Video
1:25 pm - 2:25 pm	Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery Seyedahmad Mousavi (University of Minnesota, Twin Cities)	Lind 305

Tuesday, November 12, 2019
			Video
1:25 pm - 2:25 pm	Latent Factor Models for Large-scale Data Xiaoou Li (University of Minnesota, Twin Cities)	Lind 305

Tuesday, November 19, 2019
			Video
1:25 pm - 2:25 pm	Robust Representation for Graph Data Dongmian Zou (University of Minnesota, Twin Cities)	Lind 305

Tuesday, November 26, 2019
			Video
1:25 pm - 2:25 pm	Information Flow and Security Aspects in 1-2-1 Networks Martina Cardone (University of Minnesota, Twin Cities)	Lind 305

Tuesday, December 03, 2019
			Video
1:25 pm - 2:25 pm	Exploiting Group and Geometric Structures for Massive Data Analysis Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)	Lind 305

Friday, December 06, 2019
			Video
1:25 pm - 2:25 pm	Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data Arnoldo Frigessi (Oslo University Hospital)	Lind 305

Tuesday, January 21, 2020
			Video
1:25 pm - 2:25 pm	Linear Unbalanced Optimal Transport Matthew Thorpe (University of Cambridge)	Lind 305

Tuesday, January 28, 2020
			Video
1:25 pm - 2:25 pm	SEMINAR IS CANCELED - Machine Learning Meets Societal Values Steven Wu (University of Minnesota, Twin Cities) - SEMINAR IS CANCELED	Lind 409

Tuesday, February 04, 2020
			Video
1:25 pm - 2:25 pm	Different Aspects of Registration Problem Yuehaw Khoo (University of Chicago)	Lind 305

Tuesday, February 11, 2020
			Video
1:25 pm - 2:25 pm	Function Space Metropolis-Hastings Algorithms with Non-Gaussian Priors Bamdad Hosseini (California Institute of Technology)	Lind 305

Tuesday, February 18, 2020
			Video
1:25 pm - 2:25 pm	From Clustering with Graph Cuts to Isoperimetric Inequalities: Quantitative Convergence Rates of Cheeger Cuts on Data Clouds Nicolas Garcia Trillos (University of Wisconsin, Madison)	Lind 305

Tuesday, February 25, 2020
			Video
1:25 pm - 2:25 pm	Making Small Spaces Feel Large: Practical Illusions in Virtual Reality Evan Rosenberg (University of Minnesota, Twin Cities)	Lind 305

Tuesday, March 03, 2020
			Video
1:25 pm - 2:25 pm	“Living” 3D World Models Leveraging Crowd Sourced Data Jan-Michael Frahm (Facebook)	Lind 305

Tuesday, May 19, 2020
			Video
1:25 pm - 2:25 pm	Transmission Dynamics of Influenza and SARS-CoV-2: Environmental Determinants, Inference and Forecast Jeffrey Shaman (Columbia University)	Online

Tuesday, June 09, 2020
			Video
1:25 pm - 2:25 pm	Data and Models for COVID-19 Decision-Making Forrest Crawford (Yale University)	Online

Tuesday, June 23, 2020
			Video
1:25 pm - 2:25 pm	Computational Science for COVID-19 Pandemic Planning and Response Madhav Marathe (University of Virginia)	Online

Tuesday, August 04, 2020
			Video
1:25 pm - 2:25 pm	A Network Science Approach for Controlling Epidemic Outbreaks Anil Vullikanti (University of Virginia)

Tuesday, August 18, 2020
			Video
1:25 pm - 2:25 pm	Fairness, Accountability, and Transparency: (Counter)-Examples from Predictive Models in Criminal Justice Kristian Lum (University of Pennsylvania)	Zoom