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Special Projects
Contributing Organization
Collection
Type
Format
Created
Subject
Creator
Publisher
Contributor
Language
Jacob Fisher speeches, 1939 (Box 1, Folder 8)
Description:
"Professional Goals and the Trade Union," "Economics and Social Work," and "Social Work and the Democratic Tradition."
Created:
!939
Contributed By:
University of Minnesota Libraries, Social Welfare History Archives.
Page Count:
20
Last Updated:
2022-01-19
Jacob Fisher speeches, 1939 (Box 1, Folder 8)
White pine, red pine, spruce in abondoned pasture after closure of farm.
Description:
Original, unlogged red pine stand in far back of opening. August, 1978.
Creator:
Hansen, David L., 1952-
Created:
2/19/04
Contributed By:
University of Minnesota, Minnesota Agricultural Experiment Station.
Last Updated:
2020-03-09
White pine, red pine, spruce in abondoned pasture after closure of farm.
Best Practices A Data Scientist Should Know
Description:
In this talk, Hande will give an overview of some of the best practices a data scientist should know. These will include topics like virtual environments, utilizing functions, code documentation and other things that you could start incorporating in your data science projects or coding in general. She will also include some quick tips and advice...
Creator:
Tuzel, Hande (Sabre Corporation)
Created:
2022-02-11
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Best Practices A Data Scientist Should Know
Chersu and Ka Vang
Description:
Chersu and Ka Vang have been married for over 46 years. In this video, they talk about living through war in Laos and adjusting to life in the U.S.
Creator:
Vang, Noah
Contributor:
Rolland, Isabella
Created:
2022-04-24
Contributed By:
University of Minnesota, Immigration History Research Center
Last Updated:
2022-05-11
Chersu and Ka Vang
Creating Value in PE Using Advanced Analytics
Description:
Value creation in private equity investment portfolios is fundamental to delivering results for PE customers. Our focus is in the energy and transportation sectors, and by having deep understanding of how these industries work, we explore applications where advanced analytics and better use of data can create more efficient operations and growth...
Creator:
Einset, Erik (Global Infrastructures Partners)
Created:
2022-04-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Creating Value in PE Using Advanced Analytics
Decomposing Low-Rank Symmetric Tensors
Description:
This talk will describe a suite of physically inspired instruments we've developed to enable exploration of large-scale text data, illuminate collective behavioral patterns, and develop a science of stories. Along with our flagship efforts at http://hedonometer.org and https://storywrangling.org we show how Instagram photos reveal markers of dep...
Creator:
Kileel, Joe (The University of Texas at Austin)
Created:
2022-02-08
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Decomposing Low-Rank Symmetric Tensors
Emilee Xayanourom
Description:
Food has always been a part of Emilee Xayanourom's life. She grew up making and eating authentic Lao dishes, and now owns a food truck with her family so that she can share her love of food with others in Minnesota.
Creator:
Xayanourom, Emilee
Contributor:
Rolland, Isabella
Created:
2022-04-19
Contributed By:
University of Minnesota, Immigration History Research Center
Last Updated:
2022-05-11
Emilee Xayanourom
Ernesto Torres
Description:
Ernesto's granddaughter Isabel talks about her experienes being from an immigrant family. Then, Ernesto is interviewed about his life in the Philippines and his perspective on his life as an immigrant in the U.S.
Creator:
Laderman, Isabel
Contributor:
Rolland, Isabella
Created:
2022-04-12
Contributed By:
University of Minnesota, Immigration History Research Center
Last Updated:
2022-05-11
Ernesto Torres
Graph Clustering Dynamics: From Spectral to Mean Shift
Description:
Clustering algorithms based on mean shift or spectral methods on graphs are ubiquitous in data analysis. However, in practice, these two types of algorithms are treated as conceptually disjoint: mean shift clusters based on the density of a dataset, while spectral methods allow for clustering based on geometry. In joint work with Nicolás ...
Creator:
Craig, Katy (University of California, Santa Barbara)
Created:
2022-02-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Graph Clustering Dynamics: From Spectral to Mean Shift
How Well Can We Generalize Nonlinear Learning Models in High Dimensions??
Description:
Modern learning algorithms such as deep neural networks operate in regimes that defy the traditional statistical learning theory. Neural networks architectures often contain more parameters than training samples. Despite their huge complexity, the generalization error achieved on real data is small. In this talk, we aim to study the generalizati...
Creator:
Seroussi, Inbar (Weizmann Institute of Science)
Created:
2022-04-12
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
How Well Can We Generalize Nonlinear Learning Models in High Dimensions??
Integrative Discriminant Analysis Methods for Multi-view Data
Description:
Many diseases are complex heterogeneous conditions that affect multiple organs in the body and depend on the interplay between several factors that include molecular and environmental factors, thus requiring a holistic approach in understanding the complexity and heterogeneity. In this talk, I will present some of our current statistical and ma...
Creator:
Safo, Sandra (University of Minnesota, Twin Cities)
Created:
2022-02-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Integrative Discriminant Analysis Methods for Multi-view Data
Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem
Description:
In the context of numerical linear algebra algorithms, where it is natural to sacrifice accuracy in return for quicker computation of solutions whose errors are only slightly larger than optimal, the time-accuracy tradeoff of randomized sketching has been well-characterized. Algorithms such as Blendenpik and LSRN have shown that carefully design...
Creator:
Gittens, Alex (Rensselaer Polytechnic Institute)
Created:
2022-01-25
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem
Interview with Margaret Deirdre O'Hartigan
Description:
Margaret Deirdre O'Hartigan is an Irish Catholic transsexual woman, transsexual health and rights activist, writer, and retired secretary and typesetter living in Portland, Oregon. Prior to her retirement, O'Hartigan was involved in a number of trans civil rights and nondiscrimination campaigns in Oregon, Washington, and Minnesota, including suc...
Creator:
O'Hartigan, Margaret Deirdre (interviewee)
Contributor:
Billund-Phibbs, Myra (interviewer, project manager, and transciber)
Created:
2022-04-06
Contributed By:
University of Minnesota Libraries, Jean-Nickolaus Tretter Collection in Gay, Lesbian, Bisexual and Transgender Studies.
Page Count:
2
Last Updated:
2022-04-11
Interview with Margaret Deirdre O'Hartigan
Lillian Gamm
Description:
Lillian Gamm arrived at Ellis Island from Russia on April 19, 1910. While living in Manhattan, she worked hard as a bookkeeper, raised a family, and pursued her dreams.
Creator:
Feldman, Jonah
Contributor:
Rolland, Isabella
Created:
2022-05-02
Contributed By:
University of Minnesota, Immigration History Research Center
Last Updated:
2022-05-11
Lillian Gamm
Luu Nhat Tam Ngyuen
Description:
Luu Nhat Tam Ngyuen moved to the U.S. with her mom and dad in 2019. Unfortunately, her sister was not able to join them because of her age. Luu Nhat Tam is the only person who can speak English in her family.
Creator:
Nguyen, Luu Nhat Tam
Contributor:
Rolland, Isabella
Created:
2022-05-09
Contributed By:
University of Minnesota, Immigration History Research Center
Last Updated:
2022-05-11
Luu Nhat Tam Ngyuen
Method of Moments: From Sample Complexity to Efficient Implicit Computations
Description:
In this talk, I focus on the multivariate method of moments for parameter estimation. First from a theoretical standpoint, we show that in problems where the noise is high, the number of observations necessary to estimate parameters is dictated by the moments of the distribution. Second from a computational standpoint, we address the curse of di...
Creator:
Pereira, Joao (The University of Texas at Austin)
Created:
2022-04-05
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Method of Moments: From Sample Complexity to Efficient Implicit Computations
On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems
Description:
Adversarial training is a framework widely used by machine learning practitioners to enforce robustness of learning models. Despite the development of several computational strategies for adversarial training and some theoretical development in the broader distributionally robust optimization literature, there are still several theoretical quest...
Creator:
Garcia Trillos, Nicolas (University of Wisconsin, Madison)
Created:
2022-03-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems
Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures
Description:
The assumption that high dimensional data is Gaussian is pervasive in many statistical procedures, due not only to its tail decay, but also to the level of analytic tractability this special distribution provides. We explore the relaxation of the Gaussian assumption in Single Index models and Shrinkage estimation using two tools that originate i...
Creator:
Goldstein, Larry (University of Southern California)
Created:
2022-03-29
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures
Sarah Reyes
Description:
Sarah Reyes was born in the Phlippines and moved to the U.S. when she was in middle school. Though she faced a lot of racial discrimination in her first years of being here, she eventually found a Filipino American community that she is proud to be a part of now.
Creator:
Haakonsen, Malia
Contributor:
Rolland, Isabella
Created:
2022-05-02
Contributed By:
University of Minnesota, Immigration History Research Center
Last Updated:
2022-05-11
Sarah Reyes
Stability and Generalization in Graph Convolutional Neural Networks
Description:
In recent years, the need to accommodate non-Euclidean structures in data science has brought a boom in deep learning methods on graphs, leading to many practical applications with commercial impact. In this talk, we will review the mathematical foundations of the generalization capabilities of graph convolutional neural networks (GNNs). We will...
Creator:
Levie, Ron (Ludwig-Maximilians-Universität München)
Created:
2022-02-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:
2022-04-22
Stability and Generalization in Graph Convolutional Neural Networks