Campuses:

Talks

Date Title / Speaker Eventsort descending
September 16, 2019 ML under a Modern Optimization Lens
Dimitris Bertsimas (Massachusetts Institute of Technology)
Recent Progress in Foundational Data Science
September 16, 2019 Functional data analysis for activity profiles from wearable devices
Ian McKeague (Columbia University)
Recent Progress in Foundational Data Science
September 16, 2019 Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation
Runze Li (The Pennsylvania State University)
Recent Progress in Foundational Data Science
September 17, 2019 Gaussian Complexity, Metric Entropy, and the Statistical Learning of Deep Nets
Andrew Barron (Yale University)
Recent Progress in Foundational Data Science
September 17, 2019 Nonlinear PDEs and regularization in machine learning
Jeff Calder (University of Minnesota, Twin Cities)
Recent Progress in Foundational Data Science
September 16, 2019 Envelope Methods
Dennis Cook (University of Minnesota, Twin Cities)
Recent Progress in Foundational Data Science
November 22, 2019 Machine Learning Problems at Target
Mauricio Flores (Target Corporation)
Industrial Problems Seminar
October 11, 2019 Data Science in Healthcare
Yinglong Guo (UnitedHealth Group)
Industrial Problems Seminar
February 28, 2020 Lecture
Onur Ozyesil (INTECH Investment Management LLC)
Industrial Problems Seminar
September 27, 2019 Sampling from an Alternate Universe: Overview of Privacy-preserving Synthetic Data
Christine Task (Knexus Research Corporation)
Industrial Problems Seminar
October 03, 2019 Language and Interaction in Minecraft
Arthur Szlam (Facebook)
Industrial Problems Seminar
November 15, 2019 Pipelines, Graphs, and the Language of Shopping: Architecting Next Gen Machine Learning Capabilities for Retail
Jonah White (Best Buy)
Industrial Problems Seminar
October 25, 2019 Gamma Guidance - The Mathematics Applied to a Launch Vehicle
Gary Green (The Aerospace Corporation)
Industrial Problems Seminar
February 21, 2020 Lecture
Martin Lacasse (ExxonMobil)
Industrial Problems Seminar
January 31, 2020 Lecture
Madeline Handschy (NextEra Analytics Inc)
Industrial Problems Seminar
October 11, 2019 Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics I
Tim Bodin (Cargill, Inc.)
Industrial Problems Seminar
October 11, 2019 Preparation for the MinneMUDAC Competition: On Predicting Commodity Closing Prices for Soybeans
Kylie Mitchell (Cargill, Inc.)
Industrial Problems Seminar
October 18, 2019 Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics II
Tim Bodin (Cargill, Inc.)
Industrial Problems Seminar
December 03, 2019 Exploiting Group and Geometric Structures for Massive Data Analysis
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
Data Science Seminar
October 22, 2019 Convergence Rates and Semiconvexity Estimates for the Continuum Limit of Nondominated Sorting
Brendan Cook (University of Minnesota, Twin Cities)
Data Science Seminar
February 04, 2020 Lecture
Yuehaw Khoo (University of Chicago)
Data Science Seminar
September 17, 2019 Optimal Recovery under Approximability Models, with Applications
Simon Foucart (Texas A & M University)
Data Science Seminar
March 24, 2020 Lecture
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
November 19, 2019 Robust Representation for Graph Data
Dongmian Zou (University of Minnesota, Twin Cities)
Data Science Seminar
December 06, 2019 Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data
Arnoldo Frigessi (Oslo University Hospital)
Data Science Seminar
March 31, 2020 Lecture
Matthew Hirn (Michigan State University)
Data Science Seminar
November 26, 2019 Information Flow and Security Aspects in 1-2-1 Networks
Martina Cardone (University of Minnesota, Twin Cities)
Data Science Seminar
November 12, 2019 Latent Factor Models for Large-scale Data
Xiaoou Li (University of Minnesota, Twin Cities)
Data Science Seminar
March 17, 2020 Lecture
Mauro Maggioni (Johns Hopkins University)
Data Science Seminar
November 05, 2019 Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery
Seyedahmad Mousavi (University of Minnesota, Twin Cities)
Data Science Seminar
September 10, 2019 Taming Nonconvexity: From Smooth to Nonsmooth Problems and Beyond
Ju Sun (University of Minnesota, Twin Cities)
Data Science Seminar
March 03, 2020 Lecture
Jan-Michael Frahm (Facebook)
Data Science Seminar
May 05, 2020 Lecture
Svetlana Lazebnik (University of Illinois at Urbana-Champaign)
Data Science Seminar
October 08, 2019 Parallel Transport Convolutional Neural Networks on Manifolds
Rongjie Lai (Rensselaer Polytechnic Institute)
Data Science Seminar
September 24, 2019 The Geometry of Ambiguity in One-dimensional Phase Retrieval
Dan Edidin (University of Missouri)
Data Science Seminar
April 21, 2020 Lecture
Naoki Saito (University of California, Davis)
Data Science Seminar
September 03, 2019 Where and What to Look: Learning to Understand the Visual World in Autistic Brains
Catherine Zhao (University of Minnesota, Twin Cities)
Data Science Seminar
April 14, 2020 Lecture
Ekaterina Rapinchuk (Michigan State University)
Data Science Seminar
October 29, 2019 Highly Likely Clusterable Data With No Cluster
Mimi Boutin (Purdue University)
Data Science Seminar
February 11, 2020 Lecture
Bamdad Hosseini (California Institute of Technology)
Data Science Seminar
October 01, 2019 Citizen Science and Machine Learning at Zooniverse
Darryl Wright (University of Minnesota, Twin Cities)
Data Science Seminar
October 15, 2019 Simple Approaches to Complicated Data Analysis
Deanna Needell (University of California, Los Angeles)
Data Science Seminar

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