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IMA Video Library

Note: The videos available on this page are copyrighted material. It is intended for personal use or for educational purpose. Renting or resale of this product or any part of its contents is prohibited. Reproduction of any material contained in these videos onto any other media, or reuse in any other form for any purpose, without the expressed written consent of both the IMA and the lecturer, is strictly prohibited.
Data Science Seminar
Data Science Seminar
Date Title / Speaker
April 26, 2022 A Distributed Linear Solver via the Kaczmarz Algorithm

Eric Weber (Iowa State University)

Data Science Seminar
April 12, 2022 How Well Can We Generalize Nonlinear Learning Models in High Dimensions??

Inbar Seroussi (Weizmann Institute of Science)

Data Science Seminar
April 05, 2022 Method of Moments: From Sample Complexity to Efficient Implicit Computations
Joao Pereira (The University of Texas at Austin)
Data Science Seminar
March 29, 2022 Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures

Larry Goldstein (University of Southern California)

Data Science Seminar
March 22, 2022 Using Artificial Intelligence to Model and Support the Management of Multimorbid Patients
Martin Michalowski (University of Minnesota, Twin Cities)
Data Science Seminar
March 01, 2022 On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems

Nicolas Garcia Trillos (University of Wisconsin, Madison)

Data Science Seminar
February 22, 2022 Integrative Discriminant Analysis Methods for Multi-view Data

Sandra Safo (University of Minnesota, Twin Cities)

Data Science Seminar
February 15, 2022 Graph Clustering Dynamics: From Spectral to Mean Shift

Katy Craig (University of California, Santa Barbara)

Data Science Seminar
February 08, 2022 Decomposing Low-Rank Symmetric Tensors
Joe Kileel (The University of Texas at Austin)
Data Science Seminar
February 01, 2022 Stability and Generalization in Graph Convolutional Neural Networks

Ron Levie (Ludwig-Maximilians-Universität München)

Data Science Seminar
January 25, 2022 Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem

Alex Gittens (Rensselaer Polytechnic Institute)

Data Science Seminar
November 23, 2021 The Scattering Transform for Texture Synthesis and Molecular Generation
Michael Perlmutter (University of California, Los Angeles)
Data Science Seminar
November 09, 2021 Non-Parametric Estimation of Manifolds from Noisy Data

Yariv Aizenbud (Yale University)

Data Science Seminar
October 19, 2021 Data depths meet Hamilton-Jacobi equations

Ryan Murray (North Carolina State University)

Data Science Seminar
October 12, 2021 Organizational Collaboration with Assisted Learning

Jie Ding (University of Minnesota, Twin Cities)

Data Science Seminar
October 05, 2021 Scalable and Sample-Efficient Active Learning for Graph-Based Classification

Kevin Miller (University of California, Los Angeles)

Data Science Seminar
September 21, 2021 Handling model uncertainties via informative Goodness-of-Fit

Sara Algeri (University of Minnesota, Twin Cities)

Data Science Seminar
September 14, 2021 PDE-inspired Methods for Graph-based Semi-supervised Learning
Jeff Calder (University of Minnesota, Twin Cities)
Data Science Seminar
Industrial Problems Seminar
Industrial Problems Seminar
Date Title / Speaker
April 29, 2022 Simplifying Federated Learning Jobs With Flame

Myungjin Lee (Cisco)

Industrial Problems Seminar
April 01, 2022 Creating Value in PE Using Advanced Analytics

Erik Einset (Global Infrastructures Partners)

Industrial Problems Seminar
February 18, 2022 Towards a Better Evaluation of Football Players

Eric Eager (ProFootballFocus (PFF))

Industrial Problems Seminar
February 11, 2022 Best Practices A Data Scientist Should Know

Hande Tuzel (Sabre Corporation)

Industrial Problems Seminar
December 10, 2021 From Perception to Understanding: The Third Wave of AI

Tetiana Grinberg (Intel Corporation)

Industrial Problems Seminar
December 03, 2021 Licensed to Analyze? An In-Depth Look at the Data Science Career: Defining Roles, Assessing Skills
Hamit Hamutcu (Initiative for Analytics and Data Science Standards (IADSS))
Industrial Problems Seminar
October 22, 2021 Predicting Tomorrow: Industrial Forecasting at Scale

Jimmy Broomfield (Target Corporation)

Industrial Problems Seminar
October 15, 2021 Data Scientists under attack!! Let's help them together

Sharath Dhamodaran (OptumLabs)

Industrial Problems Seminar
October 08, 2021 Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory

Juan Restrepo (Oregon State University)

Industrial Problems Seminar
October 01, 2021 Long-term Time Series Forecasting and Data Generated by Complex Systems
Kaisa Taipale (CH Robinson)
Industrial Problems Seminar
September 10, 2021 Being Smart and Dumb: Building the Sports Analytics Industry

Dean Oliver ( NBA's Washington Wizards)

Industrial Problems Seminar
Thematic Program Workshop
Optimal Control, Optimal Transport, and Data Science
Date Title / Speaker
November 13, 2020 Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Katy Craig (University of California, Santa Barbara)
Thematic Program Workshop

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