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Data Science Seminar
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)
Zoom
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
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