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 23, 2018 |
Lecture Guy-vanie Miakonkana (Travelers Insurance) |
Industrial Problems Seminar |

February 21, 2018 |
Lecture Kokichi Sugihara (Meiji University) |
Public Lecture Series |

February 02, 2018 |
Lecture Anna Kondic (Merck & Co, Inc.) |
Industrial Problems Seminar |

January 26, 2018 |
Lecture Bryan Poling (Sentek Systems LLC) |
Industrial Problems Seminar |

January 19, 2018 |
Lecture Scott Ernst (When I Work) |
Industrial Problems Seminar |

December 05, 2017 |
Lecture Joseph Teran (University of California, Los Angeles) |
Public Lecture Series |

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 26, 2017 |
Keynote Patrick Schnable (Iowa State University) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Lecture Melissa Cragin (University of Illinois at Urbana-Champaign) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Industry panel Philip Pardey (University of Minnesota, Twin Cities), Nathan Springer (University of Minnesota, Twin Cities) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Lecture Qiquan Qiao (South Dakota State University) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Lecture Sreekala Bajwa (North Dakota State University) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Lecture Aaron Kennedy (University of North Dakota) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Lecture Shashi Shekhar (University of Minnesota, Twin Cities) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 26, 2017 |
Lecture Volkan Isler (University of Minnesota, Twin Cities) |
Agricultural Data Integration: From Genomics to Unmanned Systems |

October 13, 2017 |
Utilizing Numerical Optimization to Improve the Utility of Data-Based Forecasting Models Genetha Gray (Intel Corporation) |
Industrial Problems Seminar |

October 10, 2017 |
Lecture Chao Gao (University of Chicago) |
Data Science Seminar |

October 06, 2017 |
Neural net word embeddings: What was old is new again Jeremy Bellay (Battelle) |
Industrial Problems Seminar |

October 03, 2017 |
Deep Compressed Sensing Paul Hand (Rice University) |
Data Science Seminar |

September 29, 2017 |
Lecture Whitney Moore (University of Minnesota, Twin Cities) |
Industrial Problems Seminar |

September 26, 2017 |
Lipschitz bounds for general convolutional neural networks Dongmian Zou (University of Minnesota, Twin Cities) |
Data Science Seminar |

September 22, 2017 |
Local Inversion-Free covariance estimation for Gaussian Spatial Processes Hossein Keshavarz (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |

September 19, 2017 |
Quadratic Assignment on Different Data Models Soledad Villar (New York University) |
Data Science Seminar |

September 16, 2017 |
Modeling and Validating Pharmacological Regulation of Circadian Rhythm Jae Kyoung Kim (Korea Advanced Institute of Science and Technology (KAIST)) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 16, 2017 |
Immuno-Oncology Therapies and Precision Medicine: Personal Tumor-Specific Neoantigen Prediction by Machine Learning Yi-Hsiang Hsu (Harvard Medical School) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 16, 2017 |
Emerging Biomarkers in Individualized Medicine George Vasmatzis (Mayo Clinic) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 16, 2017 |
Optimal Decision Support Rules Improve Personalize Warfarin Treatment Outcomes 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 |
Applying Neural Networks to Predict Antibiotic-Resistant Bacterial Infection from Shotgun Metagenomic Data 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 |
Treatment Allocations Based on Multi-Armed Bandit Strategies 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 |
Propensity score calipers and the overlap condition 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 |
Discovering Effect Modification in Observational Studies Dylan Small (University of Pennsylvania) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 15, 2017 |
Keynote: 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 |
Stabilized Dynamic Treatment Regimes Yingqi Zhao (Fred Hutchinson Cancer Research Center) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 14, 2017 |
Quantile-Optimal Treatment Regimes Lan Wang (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |

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 |
ExxonMobil networking event for Ph.D. students Jeremy Bedard (ExxonMobil) |
Industrial Problems Seminar |

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 |
Estimating Individual-Level and Population-Level Causal Effects of Organ Transplantation Treatment Regimes David Vock (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 14, 2017 |
Tutorial: List-based treatment regimes Eric Laber (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 14, 2017 |
Epigenetic Drift in Barrett's Esophagus: a biomarker of esophageal cancer risk Georg Luebeck (Fred Hutchinson Cancer Research Center) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 14, 2017 |
Assessment of intra-tumor genetic heterogeneity in lung cancer Subhajyoti De (Rutgers Cancer Institute of New Jersey) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 14, 2017 |
Epigenomic programs in immune cells and response to immunotherapy Christina Leslie (Memorial Sloan-Kettering Cancer Center) |
Innovative Statistics and Machine Learning for Precision Medicine |

September 14, 2017 |
Keynote: Personalizing Autism Care Through Machine Learning on Mobile Systems 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 |
Applied Mathematics for Some Industrial Problems 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 |
Scalable approximations for A- and D-optimal OED in data assimilation problems 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 |
Optimal sensor and actuator selection in distributed systems 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 |
Subspace-driven observation selection strategies for linear Bayesian inverse problems Youssef Marzouk (Massachusetts Institute of Technology) |
Sensor Location in Distributed Parameter Systems |

September 06, 2017 |
Robust Sensor Placement for Quasi-Variational Inequalities Carlos Rautenberg (Humboldt-Universität) |
Sensor Location in Distributed Parameter Systems |

September 06, 2017 |
Observers and Optimal Estimation for PDE Systems John Burns (Virginia Polytechnic Institute and State University) |
Sensor Location in Distributed Parameter Systems |

September 06, 2017 |
Sensor Modeling from Large to Small Scale Erkki Somersalo (Case Western Reserve University) |
Sensor Location in Distributed Parameter Systems |

September 06, 2017 |
Sparse Linear-Quadratic-Gaussian Control Fu Lin (United Technologies Corporation) |
Sensor Location in Distributed Parameter Systems |

September 06, 2017 |
Inverse problems: From regularization to Bayesian inference Daniela Calvetti (Case Western Reserve University) |
Sensor Location in Distributed Parameter Systems |

August 24, 2017 |
Computations in Number Theory Alyson Deines (Center for Communications Research) |
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 |
Number Theory in Sage Kiran Kedlaya (University of California, San Diego) |
Sage Days: Opening Workshop for a Year of Coding Sprints |

August 23, 2017 |
Educational technology in the large mathematics classroom 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 |