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June 17, 2019 |
(1) Energies and residues of manifolds and configuration saces of polygons
Jun O'Hara (Chiba University) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |
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June 17, 2019 |
What is Discrete Differential Geometry?
Peter Schroeder (California Institute of Technology) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |
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June 17, 2019 |
Nonlinear mechanics of elastic structures: rods
Gert van der Heijden (Imperial College London) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |
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June 17, 2019 |
Not knot
Jennifer Schultens (University of California, Davis) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |
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June 07, 2019 |
Student Activity: Finding your Focus in Graduate School
Roy Araiza (Purdue University), Ty Frazier (University of Minnesota, Twin Cities), Richard McGehee (University of Minnesota, Twin Cities), Adrienne Sands (University of Minnesota, Twin Cities) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 07, 2019 |
Mentor Activity: Creating an Action Plan
Joe Omojola (Southern University at New Orleans), William Vélez (University of Arizona) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 07, 2019 |
Panel Discussion: Emerging Opportunities for Applied Statistics and Quantitative Finance PhDs |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 07, 2019 |
Make great money, change the world (for the better): PhD options in Management and Economics
David Hummels (Purdue University) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 07, 2019 |
Student Activity: Hands-on Statistics / Machine-Learning Tutorial
Alicia Johnson (Macalester College)
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Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 07, 2019 |
Mentor Activity: Bringing Industrial Applications to the Mathematics Classroom
Galin Jones (University of Minnesota, Twin Cities) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 07, 2019 |
Lecture
Vera Andreeva (University of Minnesota, Twin Cities) |
Hydrodynamic Models for Transport in 2D Materials |
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June 07, 2019 |
On some examples of statistical applications
Javier Rojo (Oregon State University) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
Panel Discussion: Emerging Opportunities for Applied Mathematics and Data Science PhDs |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
Mentor Activity: Attracting and Mentoring Students in A Multicultural Context
Helena Noronha (California State University Northridge), Joe Omojola (Southern University at New Orleans) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
Student Activity: I know you are, but what am I?
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
The Quite Reasonable Effectiveness of Mathematical Sciences
Juan Meza (National Science Foundation) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
A spectral decomposition approach for the conductivity response of a 2D electron fluid
Matthias Maier (Texas A & M University) |
Hydrodynamic Models for Transport in 2D Materials |
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June 06, 2019 |
Student Activity: Support Your vocals like Destiny's Child supported Beyonce
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
Electron hydrodynamics in Dirac Systems
Joerg Schmalian (Karlsruhe Institute of Technology) |
Hydrodynamic Models for Transport in 2D Materials |
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June 06, 2019 |
Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already)
Rebecca Nugent (Carnegie Mellon University) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
Introduction and Overview
William Vélez (University of Arizona) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 06, 2019 |
Welcome |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |
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June 05, 2019 |
Topological invariants for interface modes
Guillaume Bal (University of Chicago) |
Hydrodynamic Models for Transport in 2D Materials |
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June 05, 2019 |
Probing Hydrodynamic Materials from First Principles
Jennifer Coulter (Harvard University) |
Hydrodynamic Models for Transport in 2D Materials |
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June 05, 2019 |
Thermal and electrical signatures of a hydrodynamic electron fluid in WP2
Fabian Menges (University of Colorado) |
Hydrodynamic Models for Transport in 2D Materials |
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June 04, 2019 |
Acoustic plasmons at the crossover between the collisionless and hydrodynamic regimes in two-dimensional electron liquids
Marco Polini (Istituto Italiano di Tecnologia) |
Hydrodynamic Models for Transport in 2D Materials |
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June 04, 2019 |
Hydrodynamic magnetoplasmon resonance and Hall viscosity in resistance of correlated electron-double-layer liquids
Alex Levchenko (University of Wisconsin, Madison) |
Hydrodynamic Models for Transport in 2D Materials |
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June 04, 2019 |
Electron Hydrodynamics in Graphene: Introduction and Status
Denis Bandurin (Massachusetts Institute of Technology) |
Hydrodynamic Models for Transport in 2D Materials |
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June 03, 2019 |
Electron hydrodynamics with a polygon Fermi surface
Andrew Lucas (Stanford University) |
Hydrodynamic Models for Transport in 2D Materials |
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June 03, 2019 |
Electron transport on the hexagonal Fermi surface of PdCoO2
Maja Bachmann (Max-Planck-Gesellschaft) |
Hydrodynamic Models for Transport in 2D Materials |
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June 03, 2019 |
Electron hydrodynamics and Hall viscosity Keywords of presentations: Hydrodynamics, Hall viscosity
Thomas Scaffidi (University of California, Berkeley) |
Hydrodynamic Models for Transport in 2D Materials |
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May 06, 2019 |
Robust Accelerated Gradient Methods
Mert Gurbuzbalaban (Rutgers, The State University Of New Jersey) |
Data Science Seminar |
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May 03, 2019 |
Startup vs. BigCo: Industry Experiences Compared
Ben Peirce (Samsung Research America) |
Industrial Problems Seminar |
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May 03, 2019 |
Some Mathematics of the Fluorescence Ultrasound Modulated Optical Tomography
Yang Yang (Michigan State University) |
Mathematics in Optical Imaging |
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May 03, 2019 |
A stability estimate for the inverse electroseismic problem
Eric Bonnetier (Université Grenoble-Alpes) |
Mathematics in Optical Imaging |
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May 02, 2019 |
Photoacoustic tomography in attenuating acoustic media
Benjamin Palacios (University of Chicago) |
Mathematics in Optical Imaging |
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May 02, 2019 |
Quantitative analysis of metal artifacts in X-ray tomography
Yiran Wang (Stanford University) |
Mathematics in Optical Imaging |
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May 02, 2019 |
Stability for quantitative Photoacoustic tomography revisited
Faouzi Triki (Université Grenoble-Alpes) |
Mathematics in Optical Imaging |
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May 02, 2019 |
Reduced Order Models for Spectral Domain Inversion: Galerkin Equivalence and Generation of Internal Data
Shari Moskow (Drexel University) |
Mathematics in Optical Imaging |
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May 02, 2019 |
Recovering Space Inhomogeneities by Means of Boltzmann Poison Systems
Irene Gamba (The University of Texas at Austin) |
Mathematics in Optical Imaging |
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May 01, 2019 |
Development of sparse grid DG methods for high dimensional PDEs
Yingda Cheng (Michigan State University) |
Mathematics in Optical Imaging |
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May 01, 2019 |
Modulated Luminescence Tomography
Plamen Stefanov (Purdue University) |
Mathematics in Optical Imaging |
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May 01, 2019 |
Stationary inverse problems for transport
Francois Monard (University of California, Santa Cruz)
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Mathematics in Optical Imaging |
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May 01, 2019 |
Lecture
Francois Monard (University of California, Santa Cruz) |
Mathematics in Optical Imaging |
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May 01, 2019 |
Optical Imaging via Inverse Scattering
Gang Bao (Zhejiang University)
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Mathematics in Optical Imaging |
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April 30, 2019 |
Nonlinear Microscopy for Imaging Deep in Scattering Tissue
Chris Xu (Cornell University) |
Mathematics in Optical Imaging |
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April 30, 2019 |
Multi-photon imaging resolves border disputes in the brain
Prakash Kara (University of Minnesota, Twin Cities) |
Mathematics in Optical Imaging |
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April 30, 2019 |
Nonlinear Imaging to Elucidate the Physical and Molecular Mechanisms Regulating Carcinoma Progression
Paolo Provenzano (University of Minnesota, Twin Cities) |
Mathematics in Optical Imaging |
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April 30, 2019 |
Lecture: A General Theory of X-ray Grating Interferometer with Arbitrary Grating Combinations
Guang-Hong Chen (University of Wisconsin Medical School) |
Mathematics in Optical Imaging |
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April 30, 2019 |
Photoacoustic Computed Tomography in Heterogeneous Acoustic Media: Status and Open Challenges
Mark Anastasio (University of Illinois at Urbana-Champaign) |
Mathematics in Optical Imaging |
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April 29, 2019 |
Inverse Problem for Kinetic Equations
Weiran Sun (Simon Fraser University) |
Mathematics in Optical Imaging |
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April 29, 2019 |
Multifrequency acousto-optic tomography
Francis Chung (University of Kentucky) |
Mathematics in Optical Imaging |
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April 29, 2019 |
Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science
Thomas Hou (California Institute of Technology) |
Data Science Seminar |
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April 29, 2019 |
Uncertainty Characterization in Model-Based Inverse and Imaging Problems
Kui Ren (Columbia University) |
Mathematics in Optical Imaging |
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April 29, 2019 |
Superresolution and Inverse Problems with Internal Sources
John Schotland (University of Michigan) |
Mathematics in Optical Imaging |
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April 29, 2019 |
Accelerating 4D PhotoAcoustic Tomography
Simon Arridge (University College London) |
Mathematics in Optical Imaging |
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April 22, 2019 |
How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples
Tom Goldstein (University of Maryland) |
Data Science Seminar |
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April 15, 2019 |
Recent Advances in Wasserstein Distributionally Robust Optimization
Rui Gao (The University of Texas at Austin) |
Data Science Seminar |
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April 12, 2019 |
Stating the Obvious - Job Search to Analytics Leadership
Sandhya Surapanenii (Stratasys) |
Industrial Problems Seminar |
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April 08, 2019 |
A Brief Overview of Quantum Computing
Vlad Pribiag (University of Minnesota, Twin Cities) |
Data Science Seminar |
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April 01, 2019 |
How to Deal with Big Data? Understanding Large-scale Distributed Regression
Edgar Dobriban (Wharton School of the University of Pennsylvania) |
Data Science Seminar |
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March 29, 2019 |
So, How Do You Get a Job?
Chang Lee (Lowe's) |
Industrial Problems Seminar |
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March 25, 2019 |
Recommendation Systems in Real Life
Mark Hsiao (Netflix, Inc) |
Data Science Seminar |
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March 15, 2019 |
Infectious Disease Modeling in Public Health
Karyn Sutton (The Institute for Disease Modeling) |
Industrial Problems Seminar |
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March 11, 2019 |
Robust and Phaseless PCA (and Subspace Tracking)
Namrata Vaswani (Iowa State University) |
Data Science Seminar |
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March 08, 2019 |
Internship/Job Searching 101: Answering Your Most Asked Beginner Questions
Whitney Moore (University of Minnesota, Twin Cities) |
Industrial Problems Seminar |
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March 04, 2019 |
Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning
Hau-tieng Wu (Duke University) |
Data Science Seminar |
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March 01, 2019 |
Solar + Storage – Opportunities and Innovations
Sohan Das (EVS, Inc.) |
Industrial Problems Seminar |
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February 25, 2019 |
Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension
David Woodruff (Carnegie Mellon University) |
Data Science Seminar |
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February 22, 2019 |
Industrial Problems in Digital Retail
Samantha Schumacher (Target Corporation) |
Industrial Problems Seminar |
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February 18, 2019 |
Graph Convolutional Neural Network via Scattering
Dongmian Zou (University of Minnesota, Twin Cities) |
Data Science Seminar |
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February 11, 2019 |
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Greg Shakhnarovich (Toyota Technological Institute at Chicago) |
Data Science Seminar |
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February 08, 2019 |
Using Wearable Sensors to Predict Pain States
Kyle Srivastava (Boston Scientific) |
Industrial Problems Seminar |
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February 04, 2019 |
Gromov-Monge Quasi Metrics and Distance Distributions
Tom Needham (The Ohio State University) |
Data Science Seminar |
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January 28, 2019 |
Data-Driven Distributionally Robust Appointment Scheduling
Guanglin Xu (University of Minnesota, Twin Cities) |
Data Science Seminar |
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January 25, 2019 |
Probabilistic Analysis of Operational Transit Data to Create Insights for Planners
Eric Lind (Metro Transit) |
Industrial Problems Seminar |
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December 10, 2018 |
Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary
Lori Ziegelmeier (Macalester College) |
Data Science Seminar |
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December 07, 2018 |
When Seeing is not Believing: New Forensics Algorithms to Detect Image Manipulations
Michael Albright (Honeywell) |
Industrial Problems Seminar |
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December 06, 2018 |
Thompson Sampling for learning in online decision making
Shipra Agrawal (Columbia University) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 06, 2018 |
Statistical State Compression and Primal-Dual Pi Learning
Mengdi Wang (Princeton University) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 06, 2018 |
Inventory Repositioning in On-Demand Product Rental Networks
Xiaobo Li (National University of Singapore) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 06, 2018 |
Simple Bayesian Algorithms for Pure-exploration
Dan Russo (Columbia University) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 05, 2018 |
Revenue Management and Pricing with Strategic (Forward-looking) Customers
Yiwei Chen (University of Cincinnati) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 05, 2018 |
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data
Mike Wei (University at Buffalo (SUNY)) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 05, 2018 |
Interpreting Predictive Models for Human-in-the-Loop Analytics
Hamsa Bastani (Wharton School of the University of Pennsylvania) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 05, 2018 |
Managing a newsvendor network under uncertainty: case study of a pharmacy retailer in India
Chaithanya Bandi (Northwestern University) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 04, 2018 |
The Secret Behind Fast Delivery - From Inventory Management Perspective
Rong Yuan (JD.COM) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 04, 2018 |
Reducing Exploration in Personalized Decision-Making
Mohsen Bayati (Stanford University) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 04, 2018 |
Data-driven Supply Chain Management at Huawei
Tianxiao Chen (Huawei Technologies) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 03, 2018 |
Absenteeism Prediction and Extra-board Driver Scheduling for Bus Transit Operations
Qie He (University of Minnesota, Twin Cities) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 03, 2018 |
The Supply Chain Management Challenges of the Future in Agriculture
Jorge Guanter (Cargill, Inc.) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 03, 2018 |
Inventory Balancing with Online Learning
Xinshang Wang (Massachusetts Institute of Technology) |
From Theory to Practice: Data-driven Supply Chain Management |
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December 03, 2018 |
Retail Supply Chain at Target Scale
Kaveh Khodjasteh (Target Corporation) |
From Theory to Practice: Data-driven Supply Chain Management |
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November 29, 2018 |
Interpolative Decomposition and its Applications (Math Dept Colloquium Lecture)
Lexing Ying (Stanford University) |
Data Science Seminar |
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November 28, 2018 |
Convex Relaxation Approaches for Strictly Correlated Density Functional Theory
Lexing Ying (Stanford University) |
Data Science Seminar |
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November 26, 2018 |
Solving PDEs with Deep Learning
Lexing Ying (Stanford University) |
Data Science Seminar |
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November 19, 2018 |
Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations
Adam Oberman (McGill University) |
Data Science Seminar |
|
November 16, 2018 |
Some Remarks
Robert Langlands (Institute for Advanced Study) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
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November 16, 2018 |
Constructing and characterizing a local Langlands correspondence
Michael Harris (Columbia University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
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November 16, 2018 |
Advanced Dynamics Systems Analysis and Synthesis for Future Storage Challenges
Raye Sosseh (Seagate Technology) |
Industrial Problems Seminar |
