Data Science Seminars

The IMA Data Science Seminars are a forum for data scientists of IMA academic and industrial partners to discuss and learn about recent developments in the broad area of data science. Some of the talks will be by group members of the IMA Data Science Lab discussing recent developments in the area and possibly presenting their own work, while other talks will be by local and visiting data scientists with a few talks by external speakers.

The seminars are organized by Jeff Calder, Will Leeb, and Gilad Lerman of the School of Mathematics at the University of Minnesota, and will generally take place Tuesdays from 1:25-2:25 p.m. in Walter Library 402 for or by Zoom. Please check the individual seminar page for details

Can't attend? Watch the live-stream for seminars (if available).

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May 02, 2023 Lecture
Elad Romanov (Stanford University)
January 24, 2023 Lecture
Meng-Yu (Jennifer) Kuo (University of Minnesota, Twin Cities)
December 13, 2022 Lecture
Pei-Chun Su (Duke University)
December 06, 2022 Lecture

Soledad Villar (John Hopkins University)

November 29, 2022 Lecture
Yunan Yang (ETH Zürich)
November 22, 2022 Lecture
Tolga Birdal (Imperial College London)
November 15, 2022 Lecture
Vladimir Kobzar (Columbia University)
November 08, 2022 Lecture
Simon Foucart (Texas A & M University)
November 01, 2022 Lecture
Stanley Osher (University of California, Los Angeles)
October 25, 2022 Lecture
Morgan Turner (University of Minnesota, Twin Cities)
October 18, 2022 Lecture
Yunpeng Shi (Princeton University)
October 11, 2022 Does the Data Induce Capacity Control in Deep Learning?

Pratik Chaudhari (University of Pennsylvania)

October 04, 2022 Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness

Casey Garner (University of Minnesota, Twin Cities)

September 21, 2022 Multiscale analysis of manifold-valued curves
Nir Sharon (Tel Aviv University)
September 20, 2022 Flexible multi-output multifidelity uncertainty quantification via MLBLUE

Matteo Croci (The University of Texas at Austin)

September 13, 2022 The Back-And-Forth Method For Wasserstein Gradient Flows

Wonjun Lee (University of Minnesota, Twin Cities)

May 03, 2022 Free Boundary Problems on Lattices

Charles Smart (Yale University)

April 26, 2022 A Distributed Linear Solver via the Kaczmarz Algorithm

Eric Weber (Iowa State University)

April 19, 2022 A Characteristics-based Approach to Computing Tukey Depths

Martin Molina-Fructuoso (North Carolina State University)

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

Inbar Seroussi (Weizmann Institute of Science)

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

Larry Goldstein (University of Southern California)

March 22, 2022 Using Artificial Intelligence to Model and Support the Management of Multimorbid Patients
Martin Michalowski (University of Minnesota, Twin Cities)
March 15, 2022 Auto-differentiable Ensemble Kalman Filters

Daniel Sanz-Alonso (University of Chicago)

March 01, 2022 On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems

Nicolas Garcia Trillos (University of Wisconsin, Madison)

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

Sandra Safo (University of Minnesota, Twin Cities)

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

Katy Craig (University of California, Santa Barbara)

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

Ron Levie (Ludwig-Maximilians-Universität München)

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

Alex Gittens (Rensselaer Polytechnic Institute)

December 14, 2021 New Methods for Disease Prediction using Imaging and Genomics

Eran Halperin (UnitedHealth Group)

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

Yariv Aizenbud (Yale University)

October 19, 2021 Data depths meet Hamilton-Jacobi equations

Ryan Murray (North Carolina State University)

October 12, 2021 Organizational Collaboration with Assisted Learning

Jie Ding (University of Minnesota, Twin Cities)

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

Kevin Miller (University of California, Los Angeles)

September 28, 2021 Standardizing the Spectra of Count Data Matrices by Diagonal Scaling

Boris Landa (Yale University)

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

Sara Algeri (University of Minnesota, Twin Cities)

September 14, 2021 PDE-inspired Methods for Graph-based Semi-supervised Learning
Jeff Calder (University of Minnesota, Twin Cities)
May 18, 2021 Measuring the Happiness, Health, & Stories of Society through the Sociotechnical Dynamics of Social Media and Fiction
Chris Danforth (University of Vermont)
May 04, 2021 Order in Disorder: Modeling the Crumpling Dynamics of Thin Sheets
Jovana Andrejevic (Harvard University)
April 27, 2021 Polynomial Time Guarantees for the Burer-Monteiro Method
Diego Cifuentes (Massachusetts Institute of Technology)
April 20, 2021 Machine Learning Techniques for High-Dimensional Optimal Transport
Lars Ruthotto (Emory University)
April 13, 2021 Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Elizaveta Rebrova (University of California, Los Angeles)
April 06, 2021 The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
Ido Kaminer (Technion-Israel Institute of Technology)
March 30, 2021 Deep Networks and the Multiple Manifold Problem
John Wright (Columbia University)
March 23, 2021 Adapting the Metropolis Algorithm
Jeffrey Rosenthal (University of Toronto)
March 16, 2021 Consistent Sparse Deep Learning: Theory and Computation
Faming Liang (Purdue University)
March 02, 2021 Coordinate Methods for Solving Eigenvalue Problems in High Dimensions
Jianfeng Lu (Duke University)
February 23, 2021 Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
Facundo Mémoli (The Ohio State University)
February 16, 2021 Learning the Manifold of Molecular Structures in Cryo-EM
Joakim Anden (Royal Institute of Technology (KTH))
February 09, 2021 Using Telco Data to Fight Epidemics
Kenth Monsen (Telenor Research)
February 02, 2021 Regression of Functions on Low-dimensional Manifolds by Neural Networks
Wenjing Liao (Georgia Institute of Technology)
January 26, 2021 An Optimal Transport Perspective on Uncertainty Propagation
Amir Sagiv (Columbia University)
January 19, 2021 Quantum Compiler for Classical Dynamical Systems
Dimitris Giannakis (Courant Institute of Mathematical Sciences)
December 15, 2020 Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University)
December 08, 2020 Understanding Convolutional Neural Networks Through Signal Processing
Matthew Hirn (Michigan State University)
December 01, 2020 Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains
Xiuyuan Cheng (Duke University)
November 24, 2020 Multiway Tensor Analysis with Neuroscience Applications
Gal Mishne (University of California, San Diego)
November 17, 2020 Fast Statistical and Geometric Distances Between Families of Distributions
Alexander Cloninger (University of California, San Diego)
November 10, 2020 Natural Graph Wavelet Packets
Naoki Saito (University of California, Davis)
November 03, 2020 Machine Learning Methods for Solving High-dimensional Mean-field Game Systems
Levon Nurbekyan (University of California, Los Angeles)
October 27, 2020 Clustering High-dimensional Data with Path Metrics: A Balance of Density and Geometry
Anna Little (The University of Utah)
October 20, 2020 How COVID-19 has Changed the World and What the Future Holds
Michael Osterholm (University of Minnesota, Twin Cities)
October 13, 2020 Geometric Methods in Statistics, Optimization, and Sampling
Tyler Maunu (Massachusetts Institute of Technology)
October 06, 2020 Large-Scale Semi-supervised Learning via Graph Structure Learning over High-dense Points
Li Wang (University of Texas at Arlington)
September 29, 2020 Multi-Perspective, Simultaneous Embedding and Theoretically Guaranteed Projected Power Method for the Multi-way Matching Problem
Vahan Huroyan (University of Arizona)
September 22, 2020 Matrix Denoising with Weighted Loss
William Leeb (University of Minnesota, Twin Cities)
September 08, 2020 Does Deep Learning Solve the Phase Retrieval Problem?
Ju Sun (University of Minnesota, Twin Cities)
August 18, 2020 Fairness, Accountability, and Transparency: (Counter)-Examples from Predictive Models in Criminal Justice
Kristian Lum (University of Pennsylvania)
August 04, 2020 A Network Science Approach for Controlling Epidemic Outbreaks
Anil Vullikanti (University of Virginia)
June 23, 2020 Computational Science for COVID-19 Pandemic Planning and Response
Madhav Marathe (University of Virginia)
June 09, 2020 Data and Models for COVID-19 Decision-Making
Forrest Crawford (Yale University)
May 19, 2020 Transmission Dynamics of Influenza and SARS-CoV-2: Environmental Determinants, Inference and Forecast
Jeffrey Shaman (Columbia University)
March 03, 2020 “Living” 3D World Models Leveraging Crowd Sourced Data
February 25, 2020 Making Small Spaces Feel Large: Practical Illusions in Virtual Reality
Evan Rosenberg (University of Minnesota, Twin Cities)
February 18, 2020 From Clustering with Graph Cuts to Isoperimetric Inequalities: Quantitative Convergence Rates of Cheeger Cuts on Data Clouds
Nicolas Garcia Trillos (University of Wisconsin, Madison)
February 11, 2020 Function Space Metropolis-Hastings Algorithms with Non-Gaussian Priors
Bamdad Hosseini (California Institute of Technology)
February 04, 2020 Different Aspects of Registration Problem
Yuehaw Khoo (University of Chicago)
January 28, 2020 SEMINAR IS CANCELED - Machine Learning Meets Societal Values

Steven Wu (University of Minnesota, Twin Cities) - SEMINAR IS CANCELED

January 21, 2020 Linear Unbalanced Optimal Transport
Matthew Thorpe (University of Cambridge)
December 06, 2019 Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data
Arnoldo Frigessi (Oslo University Hospital)
December 03, 2019 Exploiting Group and Geometric Structures for Massive Data Analysis
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
November 26, 2019 Information Flow and Security Aspects in 1-2-1 Networks
Martina Cardone (University of Minnesota, Twin Cities)
November 19, 2019 Robust Representation for Graph Data
Dongmian Zou (University of Minnesota, Twin Cities)
November 12, 2019 Latent Factor Models for Large-scale Data
Xiaoou Li (University of Minnesota, Twin Cities)
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)
October 29, 2019 Highly Likely Clusterable Data With No Cluster
Mimi Boutin (Purdue University)
October 22, 2019 Convergence Rates and Semiconvexity Estimates for the Continuum Limit of Nondominated Sorting
Brendan Cook (University of Minnesota, Twin Cities)
October 15, 2019 Simple Approaches to Complicated Data Analysis
Deanna Needell (University of California, Los Angeles)
October 08, 2019 Parallel Transport Convolutional Neural Networks on Manifolds
Rongjie Lai (Rensselaer Polytechnic Institute)
October 01, 2019 Citizen Science and Machine Learning at Zooniverse
Darryl Wright (University of Minnesota, Twin Cities)
September 24, 2019 The Geometry of Ambiguity in One-dimensional Phase Retrieval
Dan Edidin (University of Missouri)
September 17, 2019 Optimal Recovery under Approximability Models, with Applications
Simon Foucart (Texas A & M University)
September 10, 2019 Taming Nonconvexity: From Smooth to Nonsmooth Problems and Beyond
Ju Sun (University of Minnesota, Twin Cities)
September 03, 2019 Where and What to Look: Learning to Understand the Visual World in Autistic Brains
Catherine Zhao (University of Minnesota, Twin Cities)
May 06, 2019 Robust Accelerated Gradient Methods
Mert Gurbuzbalaban (Rutgers, The State University Of New Jersey)
April 29, 2019 Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science
Thomas Hou (California Institute of Technology)
April 22, 2019 How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples
Tom Goldstein (University of Maryland)
April 15, 2019 Recent Advances in Wasserstein Distributionally Robust Optimization
Rui Gao (The University of Texas at Austin)
April 08, 2019 A Brief Overview of Quantum Computing
Vlad Pribiag (University of Minnesota, Twin Cities)
April 01, 2019 How to Deal with Big Data? Understanding Large-scale Distributed Regression
Edgar Dobriban (Wharton School of the University of Pennsylvania)
March 25, 2019 Recommendation Systems in Real Life
Mark Hsiao (Netflix, Inc)
March 11, 2019 Robust and Phaseless PCA (and Subspace Tracking)
Namrata Vaswani (Iowa State University)
March 04, 2019 Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning
Hau-tieng Wu (Duke University)
February 25, 2019 Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension
David Woodruff (Carnegie Mellon University)
February 18, 2019 Graph Convolutional Neural Network via Scattering
Dongmian Zou (University of Minnesota, Twin Cities)
February 11, 2019 Style Transfer by Relaxed Optimal Transport and Self-Similarity
Greg Shakhnarovich (Toyota Technological Institute at Chicago)
February 04, 2019 Gromov-Monge Quasi Metrics and Distance Distributions
Tom Needham (The Ohio State University)
January 28, 2019 Data-Driven Distributionally Robust Appointment Scheduling
Guanglin Xu (University of Minnesota, Twin Cities)
December 10, 2018 Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary
Lori Ziegelmeier (Macalester College)
November 29, 2018 Interpolative Decomposition and its Applications (Math Dept Colloquium Lecture)
Lexing Ying (Stanford University)
November 28, 2018 Convex Relaxation Approaches for Strictly Correlated Density Functional Theory
Lexing Ying (Stanford University)
November 26, 2018 Solving PDEs with Deep Learning
Lexing Ying (Stanford University)
November 19, 2018 Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations
Adam Oberman (McGill University)
November 12, 2018 Learning from Highly Correlated Features using Graph Total Variation
Rebecca Willett (University of Chicago)
November 05, 2018 Solving Infinite Dimensional Optimization Problems with Convergence Guarantees
Matthew Jacobs (University of California, Los Angeles)
October 29, 2018 A Picture of the Energy Landscape of Deep Neural Networks
Pratik Chaudhari (California Institute of Technology)
October 22, 2018 Large Sample Asymptotics of Graph-based Methods in Machine Learning: Mathematical Analysis and Implications
Nicolas Garcia-Trillos (University of Wisconsin, Madison)
October 15, 2018 Free Component Analysis
Raj Nadakuditi (University of Michigan)
October 08, 2018 A PDE Approach to a Prediction Problem Involving Randomized Strategies
Nadejda Drenska (University of Minnesota, Twin Cities)
October 01, 2018 Scalable Collaboration for Data Science Done in Open Source Tools and Frameworks
Tyler Whitehouse (Gigantum)
September 24, 2018 Genetics of mRNA and Protein Expression in Large Yeast Populations
Frank Albert (University of Minnesota, Twin Cities)
September 17, 2018 The Role of the Translation Distribution in Multi-reference Alignment
William Leeb (University of Minnesota, Twin Cities)
August 10, 2018 Mathematics of Big Data & Machine Learning
Jeremy Kepner (Massachusetts Institute of Technology)
June 05, 2018 Mathematical Modeling of Urban Air Quality: A Case Study for Medellin, Colombia
Olga Lucia Quintero Montoya (Universidad EAFIT)
May 08, 2018 Objective Functionals of Machine Learning on Graphs and their Continuum Limits
Dejan Slepcev (Carnegie Mellon University)
May 01, 2018 Application of artificial intelligence to the standard 12 lead ECG to identify people with left ventricular dysfunction
April 26, 2018 Phase transitions and conic geometry
Joel Tropp (California Institute of Technology)
April 24, 2018 Sketchy decisions: Low-rank convex matrix optimization with optimal storage
Joel Tropp (California Institute of Technology)
April 23, 2018 Applied Random Matrix Theory
Joel Tropp (California Institute of Technology)
April 17, 2018 Population Genomics of Host-microbiome Interactions
Ran Blekhman (University of Minnesota, Twin Cities)
April 10, 2018 Human Activity Computing from Inside-out and Outside-in Visual Data
Hyun Soo Park (University of Minnesota, Twin Cities)
March 27, 2018 Primal-Dual Optimization Algorithms Over Riemannian Manifolds: An Iteration Complexity Analysise
Junyu Zhang (University of Minnesota, Twin Cities)
March 20, 2018 Accelerated Gradient PDE's: The active contour case
Anthony Yezzi (Georgia Institute of Technology)
February 20, 2018 Mixed 0-1 linear programs with uncertain objectives: A data-driven approach
Guanglin Xu (University of Minnesota, Twin Cities)
February 06, 2018 Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions
Charles Doss (University of Minnesota, Twin Cities)
January 30, 2018 Implicit Regularization in Nonconvex Statistical Estimation
Yuxin Chen (Princeton University)
January 16, 2018 Distributed and Learning Based Methods for Optimizing Non-convex Problems
Mingyi Hong (University of Minnesota, Twin Cities)
December 12, 2017 New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization
Qihang Lin (The University of Iowa)
December 08, 2017 Optimal Prediction in the Linearly Transformed Spiked Model
William Leeb (Princeton University)
November 28, 2017 Online Change-point Detection in High Dimensional Gaussian Graphical Models
Hossein Keshavarz (University of Minnesota, Twin Cities)
November 21, 2017 Application of Fluid Dynamics to the Cardiovascular Surgery: Mathematical Science for the Profound Insight into Cardiovascular Disease and for the Surgical Planning
Keiichi Itatani (Kyoto Prefectural University of Medicine)
October 31, 2017 Multireference Alignment without Alignment
Nicolas Boumal (Princeton University)
October 24, 2017 Optimal Control of Nonholonomic Mechanical Systems
Stuart Rogers (University of Minnesota, Twin Cities)
October 10, 2017 Community Structure in Stochastic Networks
Chao Gao (University of Chicago)
October 03, 2017 Deep Compressed Sensing
Paul Hand (Rice University)
September 26, 2017 Lipschitz bounds for general convolutional neural networks
Dongmian Zou (University of Minnesota, Twin Cities)
September 19, 2017 Quadratic Assignment on Different Data Models
Soledad Villar (New York University)
May 09, 2017 A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Tyler Maunu (University of Minnesota, Twin Cities)
May 02, 2017 Using Cover-Trees and Friends for Machine Learning with the CDER algorithm
Abraham Smith (University of Wisconsin-Stout)
April 18, 2017 Exploiting Data-Sparse Structures in Numerical Linear Algebra
Yuanzhe Xi (University of Minnesota, Twin Cities)
April 11, 2017 Dirichlet Graph Partitions
Braxton Osting (The University of Utah)
March 23, 2017 Algebraic and Computational Aspects of Tensors
Ke Ye (University of Chicago)
March 21, 2017 Improved Passive Microwave Retrievals of Precipitation from Space Using Sparse Approximation
Ardeshir Ebtehaj (University of Minnesota, Twin Cities)
March 10, 2017 The Generalization Performance of the Random Fourier Features Method
Anna Gilbert (University of Michigan)
March 07, 2017 PDE Scaling Limits in Semi-Supervised Learning
Jeff Calder (University of Minnesota, Twin Cities)
February 28, 2017 Methods and Applications for Precision Microbiome Quantitation
Dan Knights (University of Minnesota, Twin Cities)
February 21, 2017 “Big Data” in Image Analysis
Thomas Pengo (University of Minnesota, Twin Cities)
February 07, 2017 Dictionary Design for Graph Signal Processing
David Shuman (Macalester College)
January 24, 2017 What is special about mining spatial and spatio-temporal datasets?
Shashi Shekhar (University of Minnesota, Twin Cities)
December 05, 2016 Incorporation of Geometry into Learning Algorithms and Medicine
Alexander Cloninger (Yale University)
December 02, 2016 Elliptic PDEs and Diffusion: Short Proofs by Counting Particles and Applications
Stefan Steinerberger (Yale University)
November 29, 2016 Three-Dimensional Covariance Estimation from Noisy Tomographic Projections
Joakim Anden (Princeton University)
November 15, 2016 Orthogonal Matrix Retrieval in Cryo-electron Microscopy
Teng Zhang (University of Central Florida)
October 28, 2016 Clustering with an Oracle
Arya Mazumdar (University of Massachusetts)
October 25, 2016 Differentiated HIV Viral Load Monitoring in Resource Limited Settings: An Economic Analysis
Diana Negoescu (University of Minnesota, Twin Cities)
October 11, 2016 The Population Connectome: Information Theoretical Models for Predicting and Controlling Population Patterns
Matteo Convertino (University of Minnesota, Twin Cities)
October 07, 2016 Optimality and Sub-optimality of Principal Component Analysis for Spiked Random Matrices
Afonso Bandeira (Courant Institute of Mathematical Sciences)
September 30, 2016 Vector Diffusion Maps and the Graph Connection Laplacian
Amit Singer (Princeton University)
September 29, 2016 The Mathematics of Cryo-electron Microscopy
Amit Singer (Princeton University)
September 27, 2016 PCA from Noisy Linearly Reduced Measurements
Amit Singer (Princeton University)
September 20, 2016 Limiting Spectrum of Random Kernel Matrices
Xiuyuan Cheng (Yale University)
September 09, 2016 Unsupervised Ensemble Learning
Boaz Nadler (Weizmann Institute of Science)
May 03, 2016 New Variants and Convergence Properties of the Alternating Direction Method of Multipliers (ADMM)
Shuzhong Zhang (University of Minnesota, Twin Cities)
April 26, 2016 Embedding of Riemannian Manifolds and its Application to Image Denoising
Chen-Yun Lin (University of Toronto)
April 19, 2016 Structure-Based Comparisons for Sequential Data
Katherine Kinnaird (Macalester College)
April 05, 2016 Quantile Regression Analysis of Heterogeneous Data in Ultra-high Dimension
Lan Wang (University of Minnesota, Twin Cities)
March 29, 2016 Connecting SEER Data and Biological Mechanisms in Oral Cancer
Jasmine Foo (University of Minnesota, Twin Cities)
March 22, 2016 Recent Advances in Recommender Systems and Future Directions
George Karypis (University of Minnesota, Twin Cities)
March 08, 2016 Incremental Methods for Additive Convex Cost Optimization
Asuman Ozdaglar (Massachusetts Institute of Technology)
March 01, 2016 Adaptive Sketching and Validation to Learn from Large-Scale Data
Georgios Giannakis (University of Minnesota, Twin Cities)
February 23, 2016 Stochastic Geometry and Wireless Networks
Francois Baccelli (The University of Texas at Austin)
February 16, 2016 Envelopes: Methods for Improving Efficiency in Multivariate Statistics
Dennis Cook (University of Minnesota, Twin Cities)
February 09, 2016 Indirect Multivariate Response Linear Regression
Adam Rothman (University of Minnesota, Twin Cities)
February 02, 2016 Methodological Aspects of Predictive Data Analytics and VC-theory
Vladimir Cherkassky (University of Minnesota, Twin Cities)
January 19, 2016 Fast Algorithm for Robust Subspace Recovery
Tyler Maunu (University of Minnesota, Twin Cities)
December 15, 2015 Computational Analysis and Applications of Diffusion MRI
Christophe Lenglet (University of Minnesota, Twin Cities)
December 08, 2015 Locating Outliers in Large Matrices with Adaptive Compressive Sampling
Jarvis Haupt (University of Minnesota, Twin Cities)
December 01, 2015 Understanding Global Change: Opportunities and Challenges for Data Driven Research
Vipin Kumar (University of Minnesota, Twin Cities)
November 24, 2015 Reconstructing the Farm, Keeping an Eye on the Environment (with Robots)
Volkan Isler (University of Minnesota, Twin Cities)
November 10, 2015 Sampling Algorithms in Numerical Linear Algebra and their Applications
Yousef Saad (University of Minnesota, Twin Cities)
October 27, 2015 Gauges, Sparsity, and Spectral Optimization
Michael Friedlander (University of California)
October 22, 2015 Special Seminar: Some Statistical Problems Related to Big Data
Boaz Nadler (Weizmann Institute of Science)
October 13, 2015 Estimation with Norm Regularization: A Geometric Perspective
Arindam Banerjee (University of Minnesota, Twin Cities)
October 06, 2015 Low-complexity Modeling of Partially Available Second-order Statistics via Matrix Completion
Mihailo Jovanovic (University of Minnesota, Twin Cities)
September 22, 2015 Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RHS
Hui Zou (University of Minnesota, Twin Cities)
September 08, 2015 Seminar Planning and Decision Making
Gilad Lerman (University of Minnesota, Twin Cities), Jeffrey Moulton (University of Minnesota, Twin Cities)
December 31, 1969