Campuses:

Talks

Date Title / Speaker Event
May 04, 2018 Lecture
Tatiana Yarmola (J.P. Morgan AG)
Industrial Problems Seminar
April 24, 2018 Lecture
Joel Tropp (California Institute of Technology)
Data Science Seminar
February 02, 2018 Lecture
Anna Kondic (Merck & Co, Inc.)
Industrial Problems Seminar
January 26, 2018 Lecture
Bryan Poling (Sentek Systems LLC)
Industrial Problems Seminar
December 01, 2017 Lecture
Carol Woodward (Lawrence Livermore National Laboratory)
Industrial Problems Seminar
November 17, 2017 Lecture
Gail Letzter (National Security Agency)
Industrial Problems Seminar
November 03, 2017 Lecture
Christos Boutsidis (Goldman Sachs)
Industrial Problems Seminar
October 31, 2017 Lecture
Nicolas Boumal (Princeton University)
Data Science Seminar
October 27, 2017 Lecture
Guy-vanie Miakonkana (Travelers Insurance)
Industrial Problems Seminar
October 13, 2017 Lecture
Genetha Gray (Intel Corporation)
Industrial Problems Seminar
October 10, 2017 Lecture
Chao Gao (University of Chicago)
Data Science Seminar
October 06, 2017 Lecture
Jeremy Bellay (Battelle)
Industrial Problems Seminar
October 03, 2017 Lecture
Paul Hand (Rice University)
Data Science Seminar
September 29, 2017 Lecture
Whitney Moore (University of Minnesota, Twin Cities)
Industrial Problems Seminar
September 19, 2017 Lecture
Soledad Villar (New York University)
Data Science Seminar
September 16, 2017 Lecture
Jae Kyoung Kim (Korea Advanced Institute of Science and Technology (KAIST))
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Lecture
Yi-Hiang Hsu (Harvard Medical School)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Lecture
George Vasmatzis (Mayo Clinic)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Lecture
Chih-Lin (Jake) Chi (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Lecture
Peter Tonellato (Harvard Medical School)
Innovative Statistics and Machine Learning for Precision Medicine
September 16, 2017 Lecture
David Haslam (Cincinnati Childrens Hospital Medical Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Maximin-Projection Learning for Optimal Treatment Decision with Heterogeneous Data
Wenbin Lu (North Carolina State University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Individualized Fusion Learning (iFusion) with Applications to Personalized Inference
Minge Xie (Rutgers, The State University Of New Jersey)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 A Sequential Conditional Test for Medical Decision Making
Min Qian (Columbia University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Lecture
Yuhong Yang (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Doubly-robust estimation of shared-parameter adaptive treatment strategies
Erica Moodie (McGill University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Efficient Policy Learning
Stefan Wager (Stanford University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Lecture
Ben Hansen (University of Michigan)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
Kosuke Imai (Princeton University)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Lecture
Dylan Small (University of Pennsylvania)
Innovative Statistics and Machine Learning for Precision Medicine
September 15, 2017 Recent advances in outcome weighted learning for precision medicine
Michael Kosorok (University of North Carolina, Chapel Hill)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Lecture
Yingqi Zhao (Fred Hutchinson Cancer Research Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Lecture
Lan Wang (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 ExxonMobil networking event for Ph.D. students
Jeremy Bedard (ExxonMobil)
Industrial Problems Seminar
September 14, 2017 Change-Plane Analysis for Subgroup Detection and Sample Size Calculation
Rui Song (North Carolina State University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 New biomarker-adaptive designs of clinical trial for precision medicine
Feifang Hu (George Washington University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Lecture
David Vock (University of Minnesota, Twin Cities)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 List-based treatment regimes
Eric Laber (North Carolina State University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Lecture
Georg Luebeck (Fred Hutchinson Cancer Research Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Lecture
Subhajyoti De (Rutgers Cancer Institute of New Jersey)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Lecture
Christina Leslie (Memorial Sloan-Kettering Cancer Center)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Keynote lecture
Dennis Wall (Stanford University)
Innovative Statistics and Machine Learning for Precision Medicine
September 14, 2017 Welcome and introduction
Daniel Spirn
Innovative Statistics and Machine Learning for Precision Medicine
September 08, 2017 Lecture
Mouhacine Benosman (Mitsubishi Electric Research Laboratories)
Industrial Problems Seminar
September 08, 2017 Optimal low-rank approximations of Bayesian linear inverse problems
Luis Tenorio (Colorado School of Mines)
Sensor Location in Distributed Parameter Systems
September 08, 2017 Lecture
Tan Bui-Thanh (The University of Texas at Austin)
Sensor Location in Distributed Parameter Systems
September 08, 2017 MCMC Methods for Nonlinear Hierarchical-Bayesian Inverse Problems
John Bardsley (University of Montana)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Designing Experiments for Improved Estimation of Particle Size Distributions in Ejecta Clouds
Marylesa Howard (National Security Technologies, LLC)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Optimal shape and location of actuators or sensors in PDE models
Yannick Privat (Université de Paris VI (Pierre et Marie Curie))
Sensor Location in Distributed Parameter Systems
September 07, 2017 Sensor location in ultrasound tomography
Jennifer Mueller (Colorado State University)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Stochastic Reduced Order Modeling for Multi-sensor Radiation Transport Systems
Aaron Luttman (National Security Technologies, LLC)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Approximation errors, inverse problems and model reduction
Ville Kolehmainen (University of Eastern Finland)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Lecture
Mihailo Jovanovic (University of Southern California)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Variational Approaches for the Quantification of Observation Impact and Configuration of Sensor Networks
Adrian Sandu (Virginia Polytechnic Institute and State University)
Sensor Location in Distributed Parameter Systems
September 07, 2017 Boundary Sensitivity via the Complex-Step Derivative Approximation for 1D Poro-Elastic and Poro-Visco-Elastic Models
Harvey Banks (North Carolina State University)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Lecture
Youssef Marzouk (Massachusetts Institute of Technology)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Lecture
Carlos Rautenberg (Humboldt-Universität)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Lecture
John Burns (Virginia Polytechnic Institute and State University)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Lecture
Erkki Somersalo (Case Western Reserve University)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Lecture
Fu Lin (United Technologies Corporation)
Sensor Location in Distributed Parameter Systems
September 06, 2017 Lecture
Daniela Calvetti (Case Western Reserve University)
Sensor Location in Distributed Parameter Systems
August 24, 2017 Number Theory in Sage
Kiran Kedlaya (University of California, San Diego)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 24, 2017 Automating the proof of an analogue of Matsumoto's theorem
Eric Marberg (Hong Kong University of Science and Technology)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 24, 2017 Computations in Number Theory
Alyson Deines (Center for Communications Research)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 Lecture
Duane Nykamp (University of Minnesota, Twin Cities)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 CoCalc and SageMath in service of Ximera
James Fowler (The Ohio State University)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 Experimental Coxeter Group Theory
Jean-Phillippe Labbe (Freie Universität Berlin)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 23, 2017 Pyomo: An Open Source Library for Modeling and Solving Mathematical Programs
Jean-Paul Watson (Sandia National Laboratories)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 Connections between resources
David Farmer (American Institute of Mathematics (AIM))
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 Sage-Enabled Textbooks
Rob Beezer (University of Puget Sound)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 An introduction to p-adics in Sage
David Roe (University of Pittsburgh)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 22, 2017 Computing rational points on curves in Sage
Jennifer Balakrishnan (Boston University)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 The many ways of computing with real numbers
Vincent Delecroix (Université de Bordeaux II (Victor Segalen))
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 Open Source Tools for Optimization in Python
Ted Ralphs (Lehigh University)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 Graphs as Statistical Objects
Tom Denton (Google Inc.)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 An introduction to cluster superalgebras
Ashish Srivastava (Saint Louis University)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 Features we have and want in combinatorics in Sage
Anne Schilling (University of California, Davis)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 An Introduction to SageMath
Franco Saliola (University of Quebec)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 21, 2017 Welcome and introduction
Benjamin Brubaker (University of Minnesota, Twin Cities), Gregg Musiker (University of Minnesota, Twin Cities)
Sage Days: Opening Workshop for a Year of Coding Sprints
August 18, 2017 Discussion session and workshop recap Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 18, 2017 Recovery of Compactly Supported Functions from Spectrogram Measurements via Lifting
Sami Merhi (Michigan State University)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 18, 2017 Phaseless sampling and reconstruction in shift-invariant spaces
Cheng Cheng (University of Central Florida)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 18, 2017 Multi-Plane Tomographic Phase Retrieval for 4D Cell Microscopy
Emrah Bostan (University of California, Berkeley)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 17, 2017 Open problems and discussion session Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 17, 2017 Electron Ptychography
Andrew Maiden (University of Sheffield)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 17, 2017 Open problems and discussion session Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 17, 2017 Fast Phase Retrieval from Deterministic Measurements in Two Dimensions
Brian Preskitt (University of California, San Diego)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 17, 2017 On Signal Reconstruction from FROG Measurements
Tamir Bendory (Princeton University)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 17, 2017 Master-equation Approach to Mesoscale Description of Epitaxial Growth
Dionisios Margetis (University of Maryland)
Working Group on Multiscale Strategies
August 17, 2017 Leveraging prior knowledge in phase retrieval via Wirtinger Flows: from theory to practice
Mahdi Soltanolkotabi (University of Southern California)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 16, 2017 Open problems and discussion session Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 16, 2017 Fourier ptychographic imaging
Guoan Zheng (University of Connecticut)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 16, 2017 Open problems and discussion session Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 16, 2017 Hamilton-Jacobi from large deviation theory, statistical mechanics and classical continuum mechanics
Jin Feng (University of Kansas)
Working Group on Multiscale Strategies
August 16, 2017 Multi-reference alignment and clustering
Amit Singer (Princeton University)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 16, 2017 Phase Retrieval using the Iterative Regularized Least-Squares Algorithm
Radu Balan (University of Maryland)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 15, 2017 Open problems and discussion session Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 15, 2017 2D Materials
Pilar Ariza (Escuela Técnica Superior de Ingeniería)
Working Group on Multiscale Strategies
August 15, 2017 Phaseless Imaging Algorithms and Applications
James Fienup (University of Rochester)
Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees
August 15, 2017 Open problems and discussion session Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees

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