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 Mondays from 1:25-2:25 p.m. in Lind Hall 305 for 2018-2019. (Please check abstract for correct time and location.)

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

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2018-2019
April 29, 2019	Lecture	Thomas Hou (California Institute of Technology)
April 22, 2019	Lecture	Tom Goldstein (University of Maryland)
April 15, 2019	Lecture	Rui Gao (The University of Texas at Austin)
April 08, 2019	Lecture	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)

2017-2018
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	Zachi Attia
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)

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