Campuses:

Talks

Date Title / Speaker Eventsort ascending
February 04, 2020 Lecture
Yuehaw Khoo (University of Chicago)
Data Science Seminar
March 24, 2020 Lecture
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
September 17, 2019 Lecture
Simon Foucart (Texas A & M University)
Data Science Seminar
October 08, 2019 Lecture
Rongjie Lai (Rensselaer Polytechnic Institute)
Data Science Seminar
September 24, 2019 Lecture
Dan Edidin (University of Missouri)
Data Science Seminar
September 03, 2019 Lecture
Catherine Zhao (University of Minnesota, Twin Cities)
Data Science Seminar
April 21, 2020 Lecture
Naoki Saito (University of California, Davis)
Data Science Seminar
February 11, 2020 Lecture
Bamdad Hosseini (California Institute of Technology)
Data Science Seminar
October 15, 2019 Lecture
Deanna Needell (University of California, Los Angeles)
Data Science Seminar
December 03, 2019 Lecture
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
Data Science Seminar
October 11, 2019 Lecture
Yinglong Guo (UnitedHealth Group)
Industrial Problems Seminar
February 28, 2020 Lecture
Onur Ozyesil (INTECH Investment Management LLC)
Industrial Problems Seminar
September 27, 2019 Lecture
Christine Task (Knexus Research Corporation)
Industrial Problems Seminar
September 16, 2019 Lecture
Dimitris Bertsimas (Massachusetts Institute of Technology)
Recent Progress in Foundational Data Science
September 16, 2019 Lecture
Ian McKeague (Columbia University)
Recent Progress in Foundational Data Science
September 16, 2019 Lecture
Runze Li (The Pennsylvania State University)
Recent Progress in Foundational Data Science
September 17, 2019 Lecture
Andrew Barron (Yale University)
Recent Progress in Foundational Data Science
September 17, 2019 Lecture
Jeff Calder (University of Minnesota, Twin Cities)
Recent Progress in Foundational Data Science
September 16, 2019 Lecture
Dennis Cook (University of Minnesota, Twin Cities)
Recent Progress in Foundational Data Science
June 26, 2019 Very Tiny Knots in Nature

Kenneth Millett (University of California, Santa Barbara)

Public Lecture Series
June 06, 2019 Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already)
Rebecca Nugent (Carnegie Mellon University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: Support Your vocals like Destiny's Child supported Beyonce
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 The Quite Reasonable Effectiveness of Mathematical Sciences
Juan Meza (National Science Foundation)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Panel Discussion: Emerging Opportunities for Applied Mathematics and Data Science PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Welcome Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: I know you are, but what am I?
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Mentor Activity: Attracting and Mentoring Students in A Multicultural Context
Helena Noronha (California State University Northridge), Joe Omojola (Southern University at New Orleans)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 On some examples of statistical applications
Javier Rojo (Oregon State University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Student Activity: Hands-on Statistics / Machine-Learning Tutorial

Alicia Johnson (Macalester College)

Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Bringing Industrial Applications to the Mathematics Classroom
Galin Jones (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Make great money, change the world (for the better): PhD options in Management and Economics
David Hummels (Purdue University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Panel Discussion: Emerging Opportunities for Applied Statistics and Quantitative Finance PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Student Activity: Finding your Focus in Graduate School
Roy Araiza (Purdue University), Ty Frazier (University of Minnesota, Twin Cities), Richard McGehee (University of Minnesota, Twin Cities), Adrienne Sands (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Creating an Action Plan
Joe Omojola (Southern University at New Orleans), William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Introduction and Overview
William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
October 14, 2019 Computational Microscopy
Laura Waller (University of California, Berkeley)
Computational Imaging
October 16, 2019 Machine Learning for Tomographic Imaging
Ge Wang (Rensselaer Polytechnic Institute)
Computational Imaging
October 14, 2019 Interpreting Photon and Electron Detections to Form Images
Vivek Goyal (Boston University)
Computational Imaging
October 16, 2019 Lecture
W. Clem Karl (Boston University)
Computational Imaging
October 14, 2019 Industry Perspective + Q&A
Sergio Goma (QUALCOMM)
Computational Imaging
October 17, 2019 Welcome Remarks Computational Imaging
October 14, 2019 Lecture
Mariya Doneva (Philips Research Laboratory)
Computational Imaging
October 17, 2019 Lecture
Mario Figueiredo (Instituto Superior Tecnico)
Computational Imaging
October 14, 2019 A simple 2D graphing tool for the convergence of fixed-point iterations and plug-and-play methods
Wotao Yin (University of California, Los Angeles)
Computational Imaging
October 17, 2019 Lecture
Keigo Hirakawa (University of Dayton)
Computational Imaging
October 14, 2019 Lecture
Ming Yan (Michigan State University)
Computational Imaging
October 17, 2019 Lecture
Alessandro Foi (Tampere University of Technology)
Computational Imaging
October 15, 2019 Welcome Remarks Computational Imaging
October 17, 2019 Lecture
Mathews Jacob (The University of Iowa)
Computational Imaging
October 15, 2019 Lecture
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
Computational Imaging
October 17, 2019 Rise of the machines (in MR image reconstruction)
Florian Knoll (NYU Langone Medical Center)
Computational Imaging
October 15, 2019 Lecture
Katie Bouman (California Institute of Technology)
Computational Imaging
October 18, 2019 Welcome Remarks Computational Imaging
October 15, 2019 Lecture
Youzuo Lin (Los Alamos National Laboratory)
Computational Imaging
October 18, 2019 Lecture
Mujdat Cetin (University of Rochester)
Computational Imaging
October 15, 2019 Lecture
Orazio Gallo (NVIDIA Corporation)
Computational Imaging
October 18, 2019 Lecture
Marvin Doyley (University of Rochester)
Computational Imaging
October 16, 2019 Welcome Remarks Computational Imaging
October 18, 2019 Q&A/Closing Remarks
Brendt Wohlberg (Los Alamos National Laboratory)
Computational Imaging
October 16, 2019 Lecture
Charles Bouman (Purdue University)
Computational Imaging
October 16, 2019 Lecture
Yoram Bresler (University of Illinois at Urbana-Champaign)
Computational Imaging
October 14, 2019 Welcome Remarks Computational Imaging
October 16, 2019 Geometry of Convolutional Neural Networks for Computational Imaging
Jong Chul Ye (Korea Advanced Institute of Science and Technology (KAIST))
Computational Imaging
October 14, 2019 Lecture
Ashok Veeraraghavan (Rice University)
Computational Imaging
October 16, 2019 Lecture
Joseph Stayman (Johns Hopkins University)
Computational Imaging
June 03, 2019 Electron transport on the hexagonal Fermi surface of PdCoO2
Maja Bachmann (Max-Planck-Gesellschaft)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron hydrodynamics with a polygon Fermi surface
Andrew Lucas (Stanford University)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Electron Hydrodynamics in Graphene: Introduction and Status
Denis Bandurin (Massachusetts Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Hydrodynamic magnetoplasmon resonance and Hall viscosity in resistance of correlated electron-double-layer liquids
Alex Levchenko (University of Wisconsin, Madison)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 A spectral decomposition approach for the conductivity response of a 2D electron fluid
Matthias Maier (Texas A & M University)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Topological invariants for interface modes
Guillaume Bal (University of Chicago)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Thermal and electrical signatures of a hydrodynamic electron fluid in WP2
Fabian Menges (University of Colorado)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 Electron hydrodynamics in Dirac Systems
Joerg Schmalian (Karlsruhe Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Probing Hydrodynamic Materials from First Principles
Jennifer Coulter (Harvard University)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Acoustic plasmons at the crossover between the collisionless and hydrodynamic regimes in two-dimensional electron liquids
Marco Polini (Istituto Italiano di Tecnologia)
Hydrodynamic Models for Transport in 2D Materials
June 07, 2019 Lecture
Vera Andreeva (University of Minnesota, Twin Cities)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron hydrodynamics and Hall viscosity Keywords of presentations: Hydrodynamics, Hall viscosity
Thomas Scaffidi (University of California, Berkeley)
Hydrodynamic Models for Transport in 2D Materials
August 19, 2019 WIGA Goals
Linda Lesniak (Western Michigan University)
Workshop for Women in Graph Theory and Applications (WIGA)
August 19, 2019 Introduction to teams and topics: Teams 1 - 3
Jill Faudree (University of Alaska), Daniela Ferrero (Texas State University-San Marcos), Leslie Hogben (Iowa State University), Christine Kelley (University of Nebraska), Linda Lesniak (Western Michigan University), Gretchen Matthews (Virginia Polytechnic Institute and State University)
Workshop for Women in Graph Theory and Applications (WIGA)
August 19, 2019 Introduction to teams and topics: Teams 4 - 6
Debra Boutin (Hamilton College), Sally Cockburn (Hamilton College), Linda Eroh (University of Wisconsin at Oshkosh), Ruth Haas (University of Hawaii at Manoa), Ortud Oellermann (University of Winnipeg), Karen Seyffarth (University of Calgary)
Workshop for Women in Graph Theory and Applications (WIGA)
August 22, 2019 Old and new problems on hypercubes
Fan Chung Graham (University of California, San Diego)
Workshop for Women in Graph Theory and Applications (WIGA)
June 20, 2019 Towards Practical Notions of Individual Fairness
Aaron Roth (University of Pennsylvania)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Predictive inference with the jackknife+
Rina Barber (University of Chicago)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The implicit fairness criterion of unconstrained learning
Moritz Hardt (University of California, Berkeley)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Fairness, Accountability, and Transparency: Adventures with predictive models in criminal justice
Kristian Lum (Human Rights Data Analysis Group (HRDAG))
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 A Complexity-Theoretic Perspective on Algorithmic Fairness
Omer Reingold (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Fair PCA
Samira Samadi (Georgia Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The Measure and Mismeasure of Fairness
Sharad Goel (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Private Algorithms for High-Dimensional Gaussians
Jonathan Ullman (Northeastern University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The Structure of Optimal Private Tests for Simple Hypotheses
Audra McMillan (University of California, Berkeley)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Thomas Steinke (IBM Research Division)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Locally private learning, estimation, inference and optimality
Feng Ruan (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Individual Sensitivity Preprocessing for Data Privacy
Rachel Cummings (Georgia Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Industrial Panel Discussion on Robustness, Fairness and Privacy Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Algorithmic Questions in High-Dimensional Robust Statistics
Ilias Diakonikolas (University of Southern California)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 How Robust are Reconstruction Thresholds for Community Detection?
Ankur Moitra (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Robust Subspace Recovery with Adversarial Outliers
Tyler Maunu (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 Gaps in Information Access in Social Networks
Suresh Venkatasubramanian (The University of Utah)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Mean estimation for entangled single-sample distributions
Po-Ling Loh (University of Wisconsin, Madison)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 Locally Private Bayesian Inference for Count Models
Steven Wu (University of Minnesota, Twin Cities)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness

Pages