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  • Home
  • Faculty
  • TRIPODS+X Applications Areas
  • Tech Reports
  • Working Groups
  • Events
    • Special Session on Recent Trends in the Mathematics of Data
    • ADSI Summer School
    • ADSI Workshop
    • 2018 Workshops
      • Fundamentals of Data Analysis
        • Fundamentals Speaker Videos
      • Nonconvex Formulations and Algorithms in Data Sciences
        • Nonconvex Speaker Videos
      • IFDS Student Workshop
  • News
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Tag: Student Workshop

Tag: Student Workshop

9:30 – 9:55 Zach Charles (ECE):

Stability and Generalization of Convergent Learning Algorithms

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2:20 – 2:45 Yuzhe Ma (CS):

Teacher Improves Learning by Selecting a Training Subset

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11:10 – 11:35 Xiaowu Dai (Stats):

Optimal Calibration for Computer Model Prediction with Finite Samples

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10:45 – 11:10 Ravi Suman (ISyE):

Waiting Time Analysis in a Network of Exhaustive Polling Queues

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10:20 – 10:45 Hao Zhou (Stats):

Statistical Tests and Machine Learning for Pooling and Analyzing Multi-site Datasets

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9:55 – 10:20 Kit Newton (Math):

Diffusive Optical Tomography in the Bayesian Framework

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9:30 – 9:55 Zach Charles (ECE):

Approximate Gradient Coding in Random and Adversarial Settings

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Collaborating Entities

Algorithms for Data Science: Complexity, Scalability, and Robustness – University of Washington

Data Science Hub – University of Wisconsin–Madison

Machines, Algorithms, and Data Lab, Air Force University Center of Excellence @ UW-Madison

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The IFDS is supported by a $1.5 million grant from the National Science Foundation’s Transdisciplinary Research in Principles of Data Science (TRIPODS) initiative.