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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 Data Science Lab Director Gilad Lerman, School of Mathematics, University of Minnesota, and will generally take place Tuesdays from 1:25-2:25 p.m. in Lind Hall 305. (Please check abstract for correct time and location.)

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2017-2018
April 24, 2018 Lecture
Joel Tropp (California Institute of Technology)
March 27, 2018 Lecture
Junyu Zhang (University of Minnesota, Twin Cities)
March 20, 2018 Lecture
Anthony Yezzi (Georgia Institute of Technology)
February 06, 2018 Lecture
Charles Doss (University of Minnesota, Twin Cities)
January 30, 2018 Lecture
Yuxin Chen (Princeton University)
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)
2016-2017
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)
2015-2016
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