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model selection
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S&DS Seminar: Elchanan Mossel (MIT)
Abstract: Deep learning challenges much of the traditional thinking in statistics and machine learning, in particular the assumption that data is i.i.d. from families of distributions that are easy to describe. In the first (more scientific) part of the talk I will review some models of hierarchical or correlated data that may explain the need…
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Workshop Honoring Andrew Barron: Forty Years at the Interplay of Information Theory, Probability and Statistical Learning (Day 3)
The Workshop Honoring Andrew Barron: “Forty Years at the Interplay of Information Theory, Probability and Statistical Learning” will take place from Friday, April 26 to Sunday, April 28, 2024, at Yale University in New Haven, CT. Click for the main event page & registration Events include:
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Workshop Honoring Andrew Barron: Forty Years at the Interplay of Information Theory, Probability and Statistical Learning (Day 2)
The Workshop Honoring Andrew Barron: “Forty Years at the Interplay of Information Theory, Probability and Statistical Learning” will take place from Friday, April 26 to Sunday, April 28, 2024, at Yale University in New Haven, CT. Click for the main event page & registration Events include:
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Workshop Honoring Andrew Barron: Forty Years at the Interplay of Information Theory, Probability and Statistical Learning
The Workshop Honoring Andrew Barron: “Forty Years at the Interplay of Information Theory, Probability and Statistical Learning” will take place from Friday, April 26 to Sunday, April 28, 2024, at Yale University in New Haven, CT. Link to the main event page Events include: